CN116071134B - Intelligent user experience display method, system and storage medium - Google Patents

Intelligent user experience display method, system and storage medium Download PDF

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CN116071134B
CN116071134B CN202310212289.2A CN202310212289A CN116071134B CN 116071134 B CN116071134 B CN 116071134B CN 202310212289 A CN202310212289 A CN 202310212289A CN 116071134 B CN116071134 B CN 116071134B
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information
experience
user
demand
display
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CN116071134A (en
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李英杰
夏炼
杨超
李仲健
王军
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Networks Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The embodiment of the application provides an intelligent user experience display method, an intelligent user experience display system and a storage medium. Belongs to the technical field of big data and immersive experience. The method comprises the following steps: collecting pre-stored information and personal attribute information of a user, carrying out user attribute identification to obtain requirement attribute information, then combining the collected action information and the information searching information to obtain a requirement information portrait, extracting personalized requirement information, combining the information searching information to obtain requirement experience information, inputting the requirement experience information into a requirement experience simulation display platform to process the requirement experience information to obtain a virtual experience display model, carrying out virtual display on the user according to the model, obtaining experience pickup information, and checking a virtual display effect; the method comprises the steps of obtaining personalized requirements through information of a user, processing the personalized requirements, obtaining virtual experience display, checking marketing effects of the virtual display, collecting and processing the user requirement information through big data, performing virtual experience display, and checking marketing effects of personalized virtual experience display technology.

Description

Intelligent user experience display method, system and storage medium
Technical Field
The application relates to the technical field of big data and immersive experience, in particular to an intelligent user experience display method, an intelligent user experience display system and a storage medium.
Background
The prior product display, service display and enterprise display widely adopt virtual technology, generally adopt VR technology and system to perform scene simulation to increase visual feeling and immersion experience, or adopt computer simulation technology to perform program calculation on data by means of information technology and multimedia means to obtain virtual demonstration of product and application scene, but the prior virtual experience derivation method is generally subjective design of a product side, and lacks virtual display technology capable of performing information acquisition and personalized demand information fusion according to the demands of users and personalized elements, and also lacks verification technology for realizing virtual experience scene marketing effect through information acquisition of virtual experience scene.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The embodiment of the application aims to provide an intelligent user experience display method, an intelligent user experience display system and a storage medium, wherein the intelligent user experience display method, the intelligent user experience display system and the storage medium can acquire and process personalized requirements of user information to acquire virtual experience display and verify marketing effects of the virtual display, and the technology of acquiring and processing the user requirement information through big data to perform virtual experience display and verify the marketing effects is realized.
The embodiment of the application also provides an intelligent user experience display method, which comprises the following steps:
collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking of the user in a preset time period;
carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user;
acquiring a demand information portrait of a user according to the demand attribute information by combining the pre-stored information, the action information and the seeking information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
inputting the personal preference element information and the intention requirement information into a preset user experience display information base according to the information of the seeking information, and processing to obtain requirement experience information;
inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
and virtually displaying the user according to the virtual experience display model and acquiring experience pickup information.
Optionally, in the method for displaying experience of an intelligent user according to the embodiment of the present application, the collecting pre-stored information and personal attribute information of the user, and obtaining action information and seeking information of the user in a preset time period includes:
Collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
acquiring action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
and acquiring the information of the user in a preset time period, wherein the information comprises voice consultation, search and retrieval browsing.
Optionally, in the method for displaying intelligent user experience according to the embodiment of the present application, the identifying the user attribute according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user includes:
acquiring a preset user demand attribute identification model;
inputting the individual intention, the demand budget, the purchase product attribute, the service display demand and the identity attribute, the consumption record and the historical credit of the user into the user demand attribute identification model for processing, and obtaining the demand attribute information of the user;
the demand attribute information includes demand type, demand hierarchy, demand content, and demand value.
Optionally, in the method for displaying an intelligent user experience according to the embodiment of the present application, the obtaining, according to the requirement attribute information, a requirement information portrait of a user by combining the pre-stored information, the action information and the seeking information, and extracting personalized requirement information of the user, including personalized preference element information and intention requirement information, includes:
according to the action information and the information of the user, searching information in a preset demand trend search model to obtain corresponding search trend information;
inputting the requirement attribute information of the user into the user requirement attribute identification model in combination with the searching trend information to perform data description processing, and obtaining a requirement information portrait of the user;
and extracting personalized demand information of the user according to the demand information portrait, wherein the personalized demand information comprises personalized preference element information and intention demand information.
Optionally, in the method for displaying intelligent user experience according to the embodiment of the present application, the inputting the information of the individual preference element, the information of the intention requirement and the information of the seeking information into a preset user experience display information base to be processed to obtain the information of the requirement experience includes:
The personalized preference element information comprises personalized tendency, preference elements, purchase points and product appeal;
the intention requirement information comprises a function requirement, a value interval, a use performance and an overtired design;
establishing a user experience display information base, wherein the user experience display information base comprises a demand sample information set of various historical users, and the demand sample information set comprises individual preference element sample information, intention demand sample information, seeking sample information and demand experience sample information;
inputting the personal preference element information, the intention requirement information and the seeking information of the user into the user experience display information base for similarity processing to obtain corresponding requirement experience information of the user;
the demand experience information comprises product description, application display, scene immersion, functional experience, overflow presentation, man-machine interaction and people-environment mapping.
Optionally, in the method for displaying intelligent user experience according to the embodiment of the present application, the inputting the required experience information according to the required experience information into a required experience simulation display platform for processing, to obtain a virtual experience display model, includes:
extracting virtual experience characteristic data according to the demand experience information, wherein the virtual experience characteristic data comprises product simulation data, display rendering data, scene presentation data and value overestimation data;
Inputting the virtual experience characteristic data into a preset demand experience simulation display platform, and mapping to generate a virtual immersive local block;
and carrying out information fusion in the demand experience simulation display platform according to the personal preference element information and the virtual immersion type local area block to generate a virtual experience display model.
Optionally, in the method for displaying an intelligent user experience according to the embodiment of the present application, the method further includes:
acquiring option information of a user in a demand experience simulation display platform, wherein the option information comprises scene display and product description;
setting a corresponding alternative virtual experience display model according to the option information, and screening to obtain a personalized virtual experience display model;
acquiring comment information of the user on the personalized virtual experience display model, wherein the comment information comprises experience sense information and product experience information;
optimizing the personalized virtual experience display model according to the experience sense information;
optimizing product design or selecting other display products according to the product experience information.
In a second aspect, an embodiment of the present application provides an intelligent user experience display system, including: the intelligent user experience display method comprises a memory and a processor, wherein the memory comprises a program of the intelligent user experience display method, and the program of the intelligent user experience display method realizes the following steps when being executed by the processor:
Collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking of the user in a preset time period;
carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user;
acquiring a demand information portrait of a user according to the demand attribute information by combining the pre-stored information, the action information and the seeking information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
inputting the personal preference element information and the intention requirement information into a preset user experience display information base according to the information of the seeking information, and processing to obtain requirement experience information;
inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
and virtually displaying the user according to the virtual experience display model and acquiring experience pickup information.
Optionally, in the intelligent user experience display system according to the embodiment of the present application, the collecting pre-stored information and personal attribute information of the user, and obtaining action information and seeking information of the user in a preset time period includes:
Collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
acquiring action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
and acquiring the information of the user in a preset time period, wherein the information comprises voice consultation, search and retrieval browsing.
In a third aspect, an embodiment of the present application further provides a readable storage medium, where the readable storage medium includes an intelligent user experience display method program, where the intelligent user experience display method program, when executed by a processor, implements the steps of the intelligent user experience display method according to any one of the foregoing embodiments.
From the foregoing, it can be seen that an intelligent user experience display method, system and storage medium are provided in the embodiments of the present application. The method comprises the following steps: collecting pre-stored information and personal attribute information of a user, carrying out user attribute identification to obtain requirement attribute information, then combining the collected action information and the information searching information to obtain a requirement information portrait, extracting personalized requirement information, combining the information searching information to obtain requirement experience information, inputting the requirement experience information into a requirement experience simulation display platform to process the requirement experience information to obtain a virtual experience display model, carrying out virtual display on the user according to the model, obtaining experience pickup information, and checking a virtual display effect; the method comprises the steps of obtaining personalized requirements through information of a user, processing the personalized requirements, obtaining virtual experience display, checking marketing effects of the virtual display, and realizing the technology of collecting and processing the user requirement information through big data to conduct virtual experience display and checking marketing effects.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of an intelligent user experience display method provided by an embodiment of the present application;
FIG. 2 is a flowchart of a method for displaying an intelligent user experience according to an embodiment of the present application, wherein the method includes the steps of obtaining pre-stored information, personal attribute information, action information and seeking information;
FIG. 3 is a flowchart of a method for displaying an intelligent user experience to obtain requirement attribute information of a user according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of an intelligent user experience display system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent user experience display method according to some embodiments of the application. The intelligent user experience display method is used in terminal equipment, such as mobile phones, computers and the like. The intelligent user experience display method comprises the following steps:
s101, collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking information of the user in a preset time period;
s102, carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain requirement attribute information of the user;
s103, obtaining a demand information portrait of the user by combining the pre-stored information, the action information and the seeking information according to the demand attribute information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
s104, inputting the personal preference element information and the intention requirement information as well as the seeking information into a preset user experience display information base for processing to obtain requirement experience information;
s105, inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
S106, virtually displaying the user according to the virtual experience display model and acquiring experience pickup information.
It should be noted that, in order to achieve the more adaptive immersive virtual experience technology of the user and obtain a good marketing effect, the digital informatization description of the demand information of the user is obtained by processing the demand information of the user, the personalized information and the information of the product demand, the search and investigation action training information, the personalized preference and the intention demand of the user are extracted, the most adaptive demand experience information is searched by the similar search means of the database, an immersive virtual experience display model adapting to the personalized demand of the user is established according to the demand experience information of the user, finally, the user obtains the immersive display experience aiming at the product functions, the usage, the scene and the personalized design through the model, so that the user obtains the virtual experience feeling meeting the audiovisual feeling effect, and finally, the information data acquisition and the effect inspection are performed on the marketing technology of the virtual experience display according to the sales volume condition of the product displayed by the virtual experience, so as to further adjust the virtual experience display scheme or change the machine to optimize the product design according to the user experience effect, so as to obtain the satisfaction of the personalized demand of the user.
Referring to fig. 2, fig. 2 is a flowchart of an intelligent user experience display method according to some embodiments of the application for obtaining pre-stored information and personal attribute information, and action information and seeking information. According to the embodiment of the application, the pre-stored information and personal attribute information of the user are collected, and the action information and the information seeking information of the user in a preset time period are obtained, specifically:
s201, collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
s202, collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
s203, obtaining action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
s204, acquiring information of the user in a preset time period, including voice consultation, search and browsing.
It should be noted that, in order to define the personalized demand condition of the user, various information of the user including pre-stored information registered and entered by the user, personal attribute information, and action and training information within a certain preset time period are collected first, the pre-stored information reflects the personalized intention, budget, product type condition description, display requirement and specific personalized remark description of the user on the product and the service, the personal attribute reflects the identity, occupation, age, income, social attribute, level authority, consumption record and credit investigation condition of the user, and the information in aspects of the demand content, demand level, individuation, demand difficulty and the like of the user can be defined through the pre-stored information and the personal attribute information, and then the action track condition and information query retrieval condition of the user within the preset time period can define the brand store and brand level of the product and the service within the recent time period, and the detailed requirements of the product or service on the seeking degree, the heat degree, the demand degree and the demand content of the product and the service can be further facilitated according to the personalized demand requirement and the consumption condition of the user, and the personalized product and service scene can be further adapted to the user to obtain the better preference experience.
Referring to fig. 3, fig. 3 is a flowchart of an intelligent user experience display method according to some embodiments of the present application for obtaining requirement attribute information of a user. According to the embodiment of the application, the user attribute identification is performed on the user according to the pre-stored information and the personal attribute information, so as to obtain the requirement attribute information of the user, specifically:
s301, acquiring a preset user demand attribute identification model;
s302, inputting the individual intention, the demand budget, the purchase product attribute, the service display demand and the identity attribute, the consumption record and the historical credit of the user into the user demand attribute identification model for processing, and acquiring the demand attribute information of the user;
s303, the requirement attribute information includes a requirement type, a requirement hierarchy, a requirement content and a requirement value.
After the personalized demand and attribute information of the user and the product service demand degree are obtained, attribute identification is required to be carried out on the personalized demand of the user so as to determine the specific demand type, hierarchy, content and value of the user on the product or service, the information such as the personalized intention, demand budget, purchasing property and the like of the user is identified and processed through a preset user demand attribute identification model, the demand attribute information is obtained, the information such as the specific demand of the product service, the consumption value hierarchy, the consumption demand content and the derivative value of commodity service of the user is obtained through the model, the user demand attribute identification model is a data information processing model with the identification of the user demand attribute information, the accuracy of the processing result of the model is higher when the sample size is larger, and the virtual experience scene which is more suitable for the user demand is conveniently presented through the acquisition of the personalized demand attribute information of the user, so that the user obtains better experience degree of the product or service.
According to the embodiment of the invention, the requirement information portrait of the user is obtained by combining the pre-stored information, the action information and the seeking information according to the requirement attribute information, and the personalized requirement information of the user is extracted, including personalized preference element information and intention requirement information, specifically:
according to the action information and the information of the user, searching information in a preset demand trend search model to obtain corresponding search trend information;
inputting the requirement attribute information of the user into the user requirement attribute identification model in combination with the searching trend information to perform data description processing, and obtaining a requirement information portrait of the user;
and extracting personalized demand information of the user according to the demand information portrait, wherein the personalized demand information comprises personalized preference element information and intention demand information.
It should be noted that, in order to obtain the personalized demand condition of the user, the demand information image of the data description is established to describe the data of the user, the action and training information of the user are searched through the preset demand movement search model, the search movement information is obtained, that is, the movement conditions of the demand search, search and search of the user are obtained through model processing, then the demand attribute condition information of the user is combined with the search movement information to input the data description processing into the demand attribute identification model, that is, the demand information image reflecting the demand type, attribute, purpose, value, level, function and scene of the user is obtained through information association and data description, the information chain, data stream and information network of the user demand can be drawn through the image, the data informatization of the user demand can be objectively described, and then the personalized demand information of the user is extracted through the image, that is, the personal preference, trend function, special design, bright point key point design and price, applicable scene, purpose domain degree, and intention information beyond the average line design and other conditions of the demand are reflected.
According to the embodiment of the invention, the information of the required experience is obtained by inputting the information of the individual preference element, the information of the intention requirement and the information of the seeking information into a preset user experience display information base for processing, and the information of the required experience is specifically:
the personalized preference element information comprises personalized tendency, preference elements, purchase points and product appeal;
the intention requirement information comprises a function requirement, a value interval, a use performance and an overtired design;
establishing a user experience display information base, wherein the user experience display information base comprises a demand sample information set of various historical users, and the demand sample information set comprises individual preference element sample information, intention demand sample information, seeking sample information and demand experience sample information;
inputting the personal preference element information, the intention requirement information and the seeking information of the user into the user experience display information base for similarity processing to obtain corresponding requirement experience information of the user;
the demand experience information comprises product description, application display, scene immersion, functional experience, overflow presentation, man-machine interaction and people-environment mapping.
It should be noted that, after obtaining the information of the individual preference and the intention requirement of the user, in order to obtain the building experience model conforming to the individual preference and the intention of the user, obtain the adapted experience element information, search the requirement experience information adapted to the user by establishing a user experience display information base, where the information base is a massive information base constructed according to a large number of user preference and intention information and sample information corresponding to the requirement experience information, through which information base can search and obtain information samples similar to each user, input the individual preference information, the intention requirement information and the seeking information of the user into the information base, and obtain the information sample with the maximum information similarity of the user in the information base as a target sample, and use the requirement experience information of the sample as the requirement experience information of the user, where the requirement experience information includes the description, display design, scene, functional experience display, man-machine interaction design, and overflow value display experience information related to the user experience display, and the requirement information of the display of the product service, and the requirement and outline information of the user.
According to the embodiment of the invention, the required experience information is input into the required experience simulation display platform for processing, and a virtual experience display model is obtained, specifically:
extracting virtual experience characteristic data according to the demand experience information, wherein the virtual experience characteristic data comprises product simulation data, display rendering data, scene presentation data and value overestimation data;
inputting the virtual experience characteristic data into a preset demand experience simulation display platform, and mapping to generate a virtual immersive local block;
and carrying out information fusion in the demand experience simulation display platform according to the personal preference element information and the virtual immersion type local area block to generate a virtual experience display model.
It should be noted that, in order to obtain an immersive virtual experience display model derived according to the individual needs of the user, virtual experience feature data is extracted according to the obtained user's needs experience information, then the feature data is input into a preset needs experience simulation display platform, a relation chain between the data is mapped through the platform to generate a virtual immersive local block, the local block is a virtual scene block set according to the display mode key points such as display elements and presentation features required by virtual experience display, finally the individual preference element information and the local block are fused in the platform to generate an immersive virtual experience display model capable of displaying virtual scene feature elements of products or services, the products or services adapted to the user needs can be simulated and presented through the model, and the users can obtain virtual scene experience meeting the individual needs through the immersive experience immersion of the users.
According to an embodiment of the present invention, further comprising:
acquiring option information of a user in a demand experience simulation display platform, wherein the option information comprises scene display and product description;
setting a corresponding alternative virtual experience display model according to the option information, and screening to obtain a personalized virtual experience display model;
acquiring comment information of the user on the personalized virtual experience display model, wherein the comment information comprises experience sense information and product experience information;
optimizing the personalized virtual experience display model according to the experience sense information;
optimizing product design or selecting other display products according to the product experience information.
It should be noted that, in order to meet the specific requirements of different users on individuation of virtual experience display, an expansion option function for individuation setting of alternative display models is added, an option docking function such as an input interface, an option menu and a voice description is added in a demand experience simulation display platform, selection of a plurality of alternative models is realized through information input of option information including scenes and products so as to screen out the individuation virtual experience display models, comment information of user completion model experience is obtained, the comment information including experience sense information such as sensorial property, learning property and comfort, product experience information such as melting property, suitability and satisfaction is obtained, the individuation virtual experience display models are optimized according to the obtained experience sense information, and product design is optimized or other display products are reselected according to the product experience information.
According to an embodiment of the present invention, further comprising:
collecting feedback opinion information of the experience pickup information, including virtual experience feedback and product experience feedback;
optimizing and improving the virtual experience display model or the product design according to the feedback opinion information;
collecting the success rate data of the user after the virtual experience is completed in a second preset time period;
obtaining a preset success rate value corresponding to the virtual display product;
threshold comparison is carried out according to the yield data and the yield preset value, and if the yield data does not meet the threshold comparison requirement, a virtual experience display model or a product design corresponding to a product is required to be improved;
and if the success rate data meets the threshold comparison requirement, the product experience marketing is successful.
It should be noted that, the generated virtual experience display model is improved and optimized according to feedback opinion information in the collected experience pickup information after the user completes experience, the model is immersed and presented with improvement and optimization of vision, hearing and information data through feedback opinion of the virtual experience such as film watching experience, melt-through interaction experience, information acquisition and impression, the actual demand of the user on the product is improved through feedback information of the product experience such as product doubt, perception blind area, found pain point and the like, then the success rate in a certain period is acquired after the virtual experience is completed, the model marketing success rate is judged by threshold comparison according to the success rate data and the preset value of the success rate of the virtual display product, if the success rate data does not meet the preset threshold comparison requirement, the marketing mode of the virtual experience display or the product design need improvement and optimization are described, and the threshold comparison requirement of the success rate preset value is according to the marketing of the actual product.
According to an embodiment of the present invention, further comprising:
establishing a plurality of corresponding virtual display storefront models of a plurality of products through a demand experience simulation display platform;
acquiring residence heat data of an experience user in each virtual display storefront model, wherein the residence heat data comprise regional residence density data, residence time accumulated data and track group data;
acquiring sales data of experience display products corresponding to each virtual display storefront model in a third preset time period;
processing according to the sales volume data and the residence density data to obtain an experience marketing effect index;
according to the corresponding experience marketing effect indexes of each product, carrying out index sorting, and establishing a product experience marketing queue list;
and adjusting the planning marketing scheme according to the ordered products in the product experience marketing queue list.
It should be noted that, in order to examine the effect brought by the virtual experience display on the product marketing, the success rate of the marketing mode of the virtual experience display is evaluated, a virtual display storefront model corresponding to various products is obtained through a demand experience simulation display platform, the storefront model is an immersive virtual experience model for displaying functions, application scenes, design parameters and the like of the products, residence heat data of users in each storefront model is obtained, the residence heat data comprises density data of user residence in a virtual storefront area, accumulated data of residence time and route density data of tracks, sales volume data of each virtual display storefront in a certain time is collected, the sales effect index is obtained through processing calculation of the sales volume data and residence density data, the sales effect of each product under the marketing experience mode of the virtual experience display model can be reflected according to the effect index, the indexes of each product are ordered, the products with obvious effect are ordered, and then marketing strategy adjustment is performed on the products to improve the sales volume and brand awareness;
Wherein, the calculation formula of experience marketing effect index is:
wherein ,for experiencing marketing effectiveness index->For sales data, ++>Respectively, regional parking density data, residence time accumulated data, track group data, +.>The method comprises the step of inquiring the preset coefficient (the preset coefficient is obtained through a demand experience simulation display platform).
As shown in fig. 4, the present invention also discloses an intelligent user experience display system 4, which includes a memory 41 and a processor 42, wherein the memory includes an intelligent user experience display method program, and when the intelligent user experience display method program is executed by the processor, the following steps are implemented:
collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking of the user in a preset time period;
carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user;
acquiring a demand information portrait of a user according to the demand attribute information by combining the pre-stored information, the action information and the seeking information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
Inputting the personal preference element information and the intention requirement information into a preset user experience display information base according to the information of the seeking information, and processing to obtain requirement experience information;
inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
and virtually displaying the user according to the virtual experience display model and acquiring experience pickup information.
It should be noted that, in order to achieve the more adaptive immersive virtual experience technology of the user and obtain a good marketing effect, the digital informatization description of the demand information of the user is obtained by processing the demand information of the user, the personalized information and the information of the product demand, the search and investigation action training information, the personalized preference and the intention demand of the user are extracted, the most adaptive demand experience information is searched by the similar search means of the database, an immersive virtual experience display model adapting to the personalized demand of the user is established according to the demand experience information of the user, finally, the user obtains the immersive display experience aiming at the product functions, the usage, the scene and the personalized design through the model, so that the user obtains the virtual experience feeling meeting the audiovisual feeling effect, and finally, the information data acquisition and the effect inspection are performed on the marketing technology of the virtual experience display according to the sales volume condition of the product displayed by the virtual experience, so as to further adjust the virtual experience display scheme or change the machine to optimize the product design according to the user experience effect, so as to obtain the satisfaction of the personalized demand of the user.
According to the embodiment of the invention, the pre-stored information and personal attribute information of the user are collected, and the action information and the information seeking information of the user in a preset time period are obtained, specifically:
collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
acquiring action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
and acquiring the information of the user in a preset time period, wherein the information comprises voice consultation, search and retrieval browsing.
It should be noted that, in order to define the personalized demand condition of the user, various information of the user including pre-stored information registered and entered by the user, personal attribute information, and action and training information within a certain preset time period are collected first, the pre-stored information reflects the personalized intention, budget, product type condition description, display requirement and specific personalized remark description of the user on the product and the service, the personal attribute reflects the identity, occupation, age, income, social attribute, level authority, consumption record and credit investigation condition of the user, and the information in aspects of the demand content, demand level, individuation, demand difficulty and the like of the user can be defined through the pre-stored information and the personal attribute information, and then the action track condition and information query retrieval condition of the user within the preset time period can define the brand store and brand level of the product and the service within the recent time period, and the detailed requirements of the product or service on the seeking degree, the heat degree, the demand degree and the demand content of the product and the service can be further facilitated according to the personalized demand requirement and the consumption condition of the user, and the personalized product and service scene can be further adapted to the user to obtain the better preference experience.
According to the embodiment of the invention, the user attribute identification is performed on the user according to the pre-stored information and the personal attribute information, so as to obtain the requirement attribute information of the user, specifically:
acquiring a preset user demand attribute identification model;
inputting the individual intention, the demand budget, the purchase product attribute, the service display demand and the identity attribute, the consumption record and the historical credit of the user into the user demand attribute identification model for processing, and obtaining the demand attribute information of the user;
the demand attribute information includes demand type, demand hierarchy, demand content, and demand value.
After the personalized demand and attribute information of the user and the product service demand degree are obtained, attribute identification is required to be carried out on the personalized demand of the user so as to determine the specific demand type, hierarchy, content and value of the user on the product or service, the information such as the personalized intention, demand budget, purchasing property and the like of the user is identified and processed through a preset user demand attribute identification model, the demand attribute information is obtained, the information such as the specific demand of the product service, the consumption value hierarchy, the consumption demand content and the derivative value of commodity service of the user is obtained through the model, the user demand attribute identification model is a data information processing model with the identification of the user demand attribute information, the accuracy of the processing result of the model is higher when the sample size is larger, and the virtual experience scene which is more suitable for the user demand is conveniently presented through the acquisition of the personalized demand attribute information of the user, so that the user obtains better experience degree of the product or service.
According to the embodiment of the invention, the requirement information portrait of the user is obtained by combining the pre-stored information, the action information and the seeking information according to the requirement attribute information, and the personalized requirement information of the user is extracted, including personalized preference element information and intention requirement information, specifically:
according to the action information and the information of the user, searching information in a preset demand trend search model to obtain corresponding search trend information;
inputting the requirement attribute information of the user into the user requirement attribute identification model in combination with the searching trend information to perform data description processing, and obtaining a requirement information portrait of the user;
and extracting personalized demand information of the user according to the demand information portrait, wherein the personalized demand information comprises personalized preference element information and intention demand information.
It should be noted that, in order to obtain the personalized demand condition of the user, the demand information image of the data description is established to describe the data of the user, the action and training information of the user are searched through the preset demand movement search model, the search movement information is obtained, that is, the movement conditions of the demand search, search and search of the user are obtained through model processing, then the demand attribute condition information of the user is combined with the search movement information to input the data description processing into the demand attribute identification model, that is, the demand information image reflecting the demand type, attribute, purpose, value, level, function and scene of the user is obtained through information association and data description, the information chain, data stream and information network of the user demand can be drawn through the image, the data informatization of the user demand can be objectively described, and then the personalized demand information of the user is extracted through the image, that is, the personal preference, trend function, special design, bright point key point design and price, applicable scene, purpose domain degree, and intention information beyond the average line design and other conditions of the demand are reflected.
According to the embodiment of the invention, the information of the required experience is obtained by inputting the information of the individual preference element, the information of the intention requirement and the information of the seeking information into a preset user experience display information base for processing, and the information of the required experience is specifically:
the personalized preference element information comprises personalized tendency, preference elements, purchase points and product appeal;
the intention requirement information comprises a function requirement, a value interval, a use performance and an overtired design;
establishing a user experience display information base, wherein the user experience display information base comprises a demand sample information set of various historical users, and the demand sample information set comprises individual preference element sample information, intention demand sample information, seeking sample information and demand experience sample information;
inputting the personal preference element information, the intention requirement information and the seeking information of the user into the user experience display information base for similarity processing to obtain corresponding requirement experience information of the user;
the demand experience information comprises product description, application display, scene immersion, functional experience, overflow presentation, man-machine interaction and people-environment mapping.
It should be noted that, after obtaining the information of the individual preference and the intention requirement of the user, in order to obtain the building experience model conforming to the individual preference and the intention of the user, obtain the adapted experience element information, search the requirement experience information adapted to the user by establishing a user experience display information base, where the information base is a massive information base constructed according to a large number of user preference and intention information and sample information corresponding to the requirement experience information, through which information base can search and obtain information samples similar to each user, input the individual preference information, the intention requirement information and the seeking information of the user into the information base, and obtain the information sample with the maximum information similarity of the user in the information base as a target sample, and use the requirement experience information of the sample as the requirement experience information of the user, where the requirement experience information includes the description, display design, scene, functional experience display, man-machine interaction design, and overflow value display experience information related to the user experience display, and the requirement information of the display of the product service, and the requirement and outline information of the user.
According to the embodiment of the invention, the required experience information is input into the required experience simulation display platform for processing, and a virtual experience display model is obtained, specifically:
extracting virtual experience characteristic data according to the demand experience information, wherein the virtual experience characteristic data comprises product simulation data, display rendering data, scene presentation data and value overestimation data;
inputting the virtual experience characteristic data into a preset demand experience simulation display platform, and mapping to generate a virtual immersive local block;
and carrying out information fusion in the demand experience simulation display platform according to the personal preference element information and the virtual immersion type local area block to generate a virtual experience display model.
It should be noted that, in order to obtain an immersive virtual experience display model derived according to the individual needs of the user, virtual experience feature data is extracted according to the obtained user's needs experience information, then the feature data is input into a preset needs experience simulation display platform, a relation chain between the data is mapped through the platform to generate a virtual immersive local block, the local block is a virtual scene block set according to the display mode key points such as display elements and presentation features required by virtual experience display, finally the individual preference element information and the local block are fused in the platform to generate an immersive virtual experience display model capable of displaying virtual scene feature elements of products or services, the products or services adapted to the user needs can be simulated and presented through the model, and the users can obtain virtual scene experience meeting the individual needs through the immersive experience immersion of the users.
According to an embodiment of the present invention, further comprising:
acquiring option information of a user in a demand experience simulation display platform, wherein the option information comprises scene display and product description;
setting a corresponding alternative virtual experience display model according to the option information, and screening to obtain a personalized virtual experience display model;
acquiring comment information of the user on the personalized virtual experience display model, wherein the comment information comprises experience sense information and product experience information;
optimizing the personalized virtual experience display model according to the experience sense information;
optimizing product design or selecting other display products according to the product experience information.
It should be noted that, in order to meet the specific requirements of different users on individuation of virtual experience display, an expansion option function for individuation setting of alternative display models is added, an option docking function such as an input interface, an option menu and a voice description is added in a demand experience simulation display platform, selection of a plurality of alternative models is realized through information input of option information including scenes and products so as to screen out the individuation virtual experience display models, comment information of user completion model experience is obtained, the comment information including experience sense information such as sensorial property, learning property and comfort, product experience information such as melting property, suitability and satisfaction is obtained, the individuation virtual experience display models are optimized according to the obtained experience sense information, and product design is optimized or other display products are reselected according to the product experience information.
According to an embodiment of the present invention, further comprising:
collecting feedback opinion information of the experience pickup information, including virtual experience feedback and product experience feedback;
optimizing and improving the virtual experience display model or the product design according to the feedback opinion information;
collecting the success rate data of the user after the virtual experience is completed in a second preset time period;
obtaining a preset success rate value corresponding to the virtual display product;
threshold comparison is carried out according to the yield data and the yield preset value, and if the yield data does not meet the threshold comparison requirement, a virtual experience display model or a product design corresponding to a product is required to be improved;
and if the success rate data meets the threshold comparison requirement, the product experience marketing is successful.
It should be noted that, the generated virtual experience display model is improved and optimized according to feedback opinion information in the collected experience pickup information after the user completes experience, the model is immersed and presented with improvement and optimization of vision, hearing and information data through feedback opinion of the virtual experience such as film watching experience, melt-through interaction experience, information acquisition and impression, the actual demand of the user on the product is improved through feedback information of the product experience such as product doubt, perception blind area, found pain point and the like, then the success rate in a certain period is acquired after the virtual experience is completed, the model marketing success rate is judged by threshold comparison according to the success rate data and the preset value of the success rate of the virtual display product, if the success rate data does not meet the preset threshold comparison requirement, the marketing mode of the virtual experience display or the product design need improvement and optimization are described, and the threshold comparison requirement of the success rate preset value is according to the marketing of the actual product.
According to an embodiment of the present invention, further comprising:
establishing a plurality of corresponding virtual display storefront models of a plurality of products through a demand experience simulation display platform;
acquiring residence heat data of an experience user in each virtual display storefront model, wherein the residence heat data comprise regional residence density data, residence time accumulated data and track group data;
acquiring sales data of experience display products corresponding to each virtual display storefront model in a third preset time period;
processing according to the sales volume data and the residence density data to obtain an experience marketing effect index;
according to the corresponding experience marketing effect indexes of each product, carrying out index sorting, and establishing a product experience marketing queue list;
and adjusting the planning marketing scheme according to the ordered products in the product experience marketing queue list.
It should be noted that, in order to examine the effect brought by the virtual experience display on the product marketing, the success rate of the marketing mode of the virtual experience display is evaluated, a virtual display storefront model corresponding to various products is obtained through a demand experience simulation display platform, the storefront model is an immersive virtual experience model for displaying functions, application scenes, design parameters and the like of the products, residence heat data of users in each storefront model is obtained, the residence heat data comprises density data of user residence in a virtual storefront area, accumulated data of residence time and route density data of tracks, sales volume data of each virtual display storefront in a certain time is collected, the sales effect index is obtained through processing calculation of the sales volume data and residence density data, the sales effect of each product under the marketing experience mode of the virtual experience display model can be reflected according to the effect index, the indexes of each product are ordered, the products with obvious effect are ordered, and then marketing strategy adjustment is performed on the products to improve the sales volume and brand awareness;
Wherein, the calculation formula of experience marketing effect index is:
wherein ,for experiencing marketing effectiveness index->For sales data, ++>Respectively, regional parking density data, residence time accumulated data, track group data, +.>The method comprises the step of inquiring the preset coefficient (the preset coefficient is obtained through a demand experience simulation display platform).
A third aspect of the present invention provides a readable storage medium having embodied therein an intelligent user experience display method program which, when executed by a processor, implements the steps of the intelligent user experience display method as described in any one of the preceding claims.
The invention discloses an intelligent user experience display method, a system and a storage medium, which are characterized in that pre-stored information and personal attribute information of a user are collected to perform user attribute identification to obtain requirement attribute information, then the requirement information portrait is obtained by combining the collected action information and the information searching information, personalized requirement information is extracted, then the requirement experience information is obtained by combining the information searching information processing, then the requirement experience information is input into a requirement experience simulation display platform to be processed to obtain a virtual experience display model, virtual display is performed on the user according to the model, experience pickup information is obtained, and virtual display effect is checked; the method comprises the steps of obtaining personalized requirements through information of a user, processing the personalized requirements, obtaining virtual experience display, checking marketing effects of the virtual display, and realizing the technology of collecting and processing the user requirement information through big data to conduct virtual experience display and checking marketing effects.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims (8)

1. An intelligent user experience display method is characterized by comprising the following steps:
collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking of the user in a preset time period;
carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user;
acquiring a demand information portrait of a user according to the demand attribute information by combining the pre-stored information, the action information and the seeking information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
inputting the personal preference element information and the intention requirement information into a preset user experience display information base according to the information of the seeking information, and processing to obtain requirement experience information;
inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
performing virtual display on the user according to the virtual experience display model and acquiring experience pickup information;
the step of carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user comprises the following steps:
Acquiring a preset user demand attribute identification model;
inputting the individual intention, the demand budget, the purchase product attribute, the service display demand and the identity attribute, the consumption record and the historical credit of the user into the user demand attribute identification model for processing, and obtaining the demand attribute information of the user;
the demand attribute information comprises a demand type, a demand level, demand content and demand value;
the method for obtaining the demand information portrait of the user by combining the pre-stored information, the action information and the seeking information according to the demand attribute information, extracting personalized demand information of the user, including personalized preference element information and intention demand information, comprises the following steps:
according to the action information and the information of the user, searching information in a preset demand trend search model to obtain corresponding search trend information;
inputting the requirement attribute information of the user into the user requirement attribute identification model in combination with the searching trend information to perform data description processing, and obtaining a requirement information portrait of the user;
extracting personalized demand information of the user according to the demand information portrait, wherein the personalized demand information comprises personalized preference element information and intention demand information;
Further comprises:
collecting feedback opinion information of the experience pickup information, including virtual experience feedback and product experience feedback;
optimizing and improving the virtual experience display model or the product design according to the feedback opinion information;
collecting the success rate data of the user after the virtual experience is completed in a second preset time period;
obtaining a preset success rate value corresponding to the virtual display product;
threshold comparison is carried out according to the yield data and the yield preset value, and if the yield data does not meet the threshold comparison requirement, a virtual experience display model or a product design corresponding to a product is required to be improved;
if the success rate data meets the threshold comparison requirement, the product experience marketing is successful;
further comprises:
establishing a plurality of corresponding virtual display storefront models of a plurality of products through a demand experience simulation display platform;
acquiring residence heat data of an experience user in each virtual display storefront model, wherein the residence heat data comprise regional residence density data, residence time accumulated data and track group data;
acquiring sales data of experience display products corresponding to each virtual display storefront model in a third preset time period;
Processing according to the sales volume data and the residence heat data to obtain an experience marketing effect index;
according to the corresponding experience marketing effect indexes of each product, carrying out index sorting, and establishing a product experience marketing queue list;
regulating a planning marketing scheme according to the ordered products in the product experience marketing queue;
the calculation formula of the experience marketing effect index is as follows:
wherein ,for experiencing marketing effectiveness index->For sales data, ++>Respectively, regional parking density data, residence time accumulated data, track group data, +.>Is a preset coefficient.
2. The method for displaying an intelligent user experience according to claim 1, wherein the steps of collecting pre-stored information and personal attribute information of the user, and obtaining action information and seeking information of the user in a preset time period include:
collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
acquiring action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
And acquiring the information of the user in a preset time period, wherein the information comprises voice consultation, search and retrieval browsing.
3. The method for displaying intelligent user experience according to claim 2, wherein the inputting the personal preference element information, the intention requirement information and the seeking information into a preset user experience display information base for processing to obtain the requirement experience information comprises the following steps:
the personalized preference element information comprises personalized tendency, preference elements, purchase points and product appeal;
the intention requirement information comprises a function requirement, a value interval, a use performance and an overtired design;
establishing a user experience display information base, wherein the user experience display information base comprises a demand sample information set of various historical users, and the demand sample information set comprises individual preference element sample information, intention demand sample information, seeking sample information and demand experience sample information;
inputting the personal preference element information, the intention requirement information and the seeking information of the user into the user experience display information base for similarity processing to obtain corresponding requirement experience information of the user;
the demand experience information comprises product description, application display, scene immersion, functional experience, overflow presentation, man-machine interaction and people-environment mapping.
4. The method for displaying the intelligent user experience according to claim 3, wherein the inputting the required experience information into the required experience simulation display platform for processing to obtain the virtual experience display model comprises:
extracting virtual experience characteristic data according to the demand experience information, wherein the virtual experience characteristic data comprises product simulation data, display rendering data, scene presentation data and value overestimation data;
inputting the virtual experience characteristic data into a preset demand experience simulation display platform, and mapping to generate a virtual immersive local block;
and carrying out information fusion in the demand experience simulation display platform according to the personal preference element information and the virtual immersion type local area block to generate a virtual experience display model.
5. The intelligent user experience display method according to claim 4, further comprising:
acquiring option information of a user in a demand experience simulation display platform, wherein the option information comprises scene display and product description;
setting a corresponding alternative virtual experience display model according to the option information, and screening to obtain a personalized virtual experience display model;
acquiring comment information of the user on the personalized virtual experience display model, wherein the comment information comprises experience sense information and product experience information;
Optimizing the personalized virtual experience display model according to the experience sense information;
optimizing product design or selecting other display products according to the product experience information.
6. An intelligent user experience display system, the system comprising: the intelligent user experience display method comprises a memory and a processor, wherein the memory comprises a program of the intelligent user experience display method, and the program of the intelligent user experience display method realizes the following steps when being executed by the processor:
collecting pre-stored information and personal attribute information of a user, and obtaining action information and information seeking of the user in a preset time period;
carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user;
acquiring a demand information portrait of a user according to the demand attribute information by combining the pre-stored information, the action information and the seeking information, and extracting personalized demand information of the user, including personalized preference element information and intention demand information;
inputting the personal preference element information and the intention requirement information into a preset user experience display information base according to the information of the seeking information, and processing to obtain requirement experience information;
Inputting the demand experience information into a demand experience simulation display platform for processing according to the demand experience information, and obtaining a virtual experience display model;
performing virtual display on the user according to the virtual experience display model and acquiring experience pickup information;
the step of carrying out user attribute identification on the user according to the pre-stored information and the personal attribute information to obtain the requirement attribute information of the user comprises the following steps:
acquiring a preset user demand attribute identification model;
inputting the individual intention, the demand budget, the purchase product attribute, the service display demand and the identity attribute, the consumption record and the historical credit of the user into the user demand attribute identification model for processing, and obtaining the demand attribute information of the user;
the demand attribute information comprises a demand type, a demand level, demand content and demand value;
the method for obtaining the demand information portrait of the user by combining the pre-stored information, the action information and the seeking information according to the demand attribute information, extracting personalized demand information of the user, including personalized preference element information and intention demand information, comprises the following steps:
according to the action information and the information of the user, searching information in a preset demand trend search model to obtain corresponding search trend information;
Inputting the requirement attribute information of the user into the user requirement attribute identification model in combination with the searching trend information to perform data description processing, and obtaining a requirement information portrait of the user;
extracting personalized demand information of the user according to the demand information portrait, wherein the personalized demand information comprises personalized preference element information and intention demand information;
further comprises:
collecting feedback opinion information of the experience pickup information, including virtual experience feedback and product experience feedback;
optimizing and improving the virtual experience display model or the product design according to the feedback opinion information;
collecting the success rate data of the user after the virtual experience is completed in a second preset time period;
obtaining a preset success rate value corresponding to the virtual display product;
threshold comparison is carried out according to the yield data and the yield preset value, and if the yield data does not meet the threshold comparison requirement, a virtual experience display model or a product design corresponding to a product is required to be improved;
if the success rate data meets the threshold comparison requirement, the product experience marketing is successful;
further comprises:
establishing a plurality of corresponding virtual display storefront models of a plurality of products through a demand experience simulation display platform;
Acquiring residence heat data of an experience user in each virtual display storefront model, wherein the residence heat data comprise regional residence density data, residence time accumulated data and track group data;
acquiring sales data of experience display products corresponding to each virtual display storefront model in a third preset time period;
processing according to the sales volume data and the residence heat data to obtain an experience marketing effect index;
according to the corresponding experience marketing effect indexes of each product, carrying out index sorting, and establishing a product experience marketing queue list;
regulating a planning marketing scheme according to the ordered products in the product experience marketing queue;
the calculation formula of the experience marketing effect index is as follows:
wherein ,for experiencing marketing effectiveness index->For sales data, ++>Respectively, regional parking density data, residence time accumulated data, track group data, +.>Is a preset coefficient.
7. The intelligent user experience display system according to claim 6, wherein the collecting pre-stored information and personal attribute information of the user and obtaining action information and seeking information of the user in a preset time period comprises:
collecting pre-stored information of a user, including individual intention, demand budget, procurement attribute and service display demand and special remarks;
Collecting personal attribute information of a user, including identity attribute, rights and interests, consumption records and historical credit investigation;
acquiring action information of a user in a preset time period, wherein the action information comprises an area track, a stay place and stay time;
and acquiring the information of the user in a preset time period, wherein the information comprises voice consultation, search and retrieval browsing.
8. A computer readable storage medium, characterized in that it comprises an intelligent user experience display method program, which, when executed by a processor, implements the steps of the intelligent user experience display method according to any one of claims 1 to 5.
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