CN108401009A - The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process - Google Patents

The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process Download PDF

Info

Publication number
CN108401009A
CN108401009A CN201810041405.8A CN201810041405A CN108401009A CN 108401009 A CN108401009 A CN 108401009A CN 201810041405 A CN201810041405 A CN 201810041405A CN 108401009 A CN108401009 A CN 108401009A
Authority
CN
China
Prior art keywords
content
information
user
content information
analysis process
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810041405.8A
Other languages
Chinese (zh)
Inventor
胡欣涛
张龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Xiaopeng Motors Technology Co Ltd
Original Assignee
Guangzhou Xiaopeng Motors Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Xiaopeng Motors Technology Co Ltd filed Critical Guangzhou Xiaopeng Motors Technology Co Ltd
Priority to CN201810041405.8A priority Critical patent/CN108401009A/en
Publication of CN108401009A publication Critical patent/CN108401009A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services
    • 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
    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a kind of method and systems adaptively adjusting car-mounted display content based on intelligent analysis process, and this approach includes the following steps:When vehicle-mounted big screen system starts, the preset application of display systems on display interface automatically;Recommendation corresponding with the user is obtained in real time and shows content, is pushed on vehicle-mounted big screen system, carries out enumerating display in a manner of application card;Wherein, described to recommend to show that content is at least one content information that cloud platform to user information and content information library obtained after intellectual analysis operation based on intelligent analysis process and each associated with a content information using card.The present invention can carry out the displaying of preset application and application card automatically, it is carried out without clicking manually, high degree of automation, improve the usage experience of user, and recommendation can be adjusted flexibly according to user preference and show content, apply card, regulative mode simple, quick so as to adjust corresponding, application cost is low, can be widely applied in automobile industry.

Description

The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process
Technical field
The present invention relates to mobile unit technical fields, vehicle-mounted aobvious more particularly to adaptively being adjusted based on intelligent analysis process Show the method and system of content.
Background technology
Existing vehicle-mounted big screen system is understood when automobile dispatches from the factory at the business such as preset configuration is navigated well, video playing is applied The application program of class is managed, these application programs are pre-set, and after vehicle release, user is difficult to replace vehicle-mounted large-size screen monitors system The preset application of system, user can not carry out from main modulation, cannot carry out flexible modulation according to actual use situation or user preference, Very big difficulty is brought for operation, it is necessary to be returned factory and is adjusted or professional institution is gone to be adjusted, cause operation cost very high.And And existing vehicle-mounted big screen system, preset application interface will not be started automatically on startup, user is needed to click startup manually, The degree of automation is low.
Explanation of nouns
KNN sorting algorithms:K nearest neighbor algorithms, KNN full name K-Nearest Neighbor, KNN sorting algorithms are a kind of machines Device learning algorithm.
Invention content
In order to solve the above technical problems, the object of the present invention is to provide adaptively adjust vehicle based on intelligent analysis process Carry the method and system for showing content.
The present invention solves the first technical solution used by its technical problem:
The method that car-mounted display content is adaptively adjusted based on intelligent analysis process, is included the following steps:
When vehicle-mounted big screen system starts, the preset application of display systems on display interface automatically;
Recommendation corresponding with the user is obtained in real time and shows content, is pushed on vehicle-mounted big screen system, with application card Mode carries out enumerating display;
Wherein, the recommendation show content be cloud platform be based on intelligent analysis process to user information and content information library into At least one the content information obtained after row intellectual analysis operation, and it is each associated with a content information using card.
Further, the content information lab setting is made of in cloud platform multinomial content information, and each content information is equal The content information provided including at least one content provider;
The user information includes information-setting by user, user tag information and customer incident information;
The information-setting by user refers to user to each setting information using card;
The user tag information refers to analysis mining is carried out to each use information using card according to user after, obtained User packet label information;
The customer incident information refers to the real-time event of vehicle.
Further, further comprising the steps of:
For each content information in content information library, the priority number based on the content information that content provider provides According to progress influence power classification and grading calculate the influence power of each content information.
Further, the intelligent analysis process is specially:
Whether the priority orders of each business rule based on default settings, Ergodic judgement have business rule to be triggered, if Have, then according to the business rule being triggered, corresponding content information is obtained from content information library and is shown as the recommendation of user Content is obtained similar similar to the user preference conversely, using KNN sorting algorithms according to the analysis of user's history operation information User group, and then the history preference of each similar users of acquisition similar users group shows content as use from content information library The recommendation at family shows content;
Wherein, business rule refers to and the relevant information push rule of user information and/or content information library.
Further, further comprising the steps of:
Card is applied associated by content information for newest push display, it is shown into line flicker.
Further, further comprising the steps of:
Multiple for display simultaneously apply card, Tiao Zheng not apply the display position of card each according to pre-set priority It sets.
The present invention solves the second technical solution used by its technical problem:
The system that car-mounted display content is adaptively adjusted based on intelligent analysis process, including the intelligence being arranged in cloud platform are pushed away It recommends system and the information display module in vehicle-mounted big screen system is set;
The intelligent recommendation system is used to carry out intelligence point to user information and content information library based on intelligent analysis process At least one content information is obtained after analysis operation as recommendation display content;
Described information display module is used for:When vehicle-mounted big screen system starts, display systems are pre- on display interface automatically Set application;And obtain recommendation corresponding with the user in real time and show content, it is pushed on vehicle-mounted big screen system, to apply card Mode carry out enumerating display;
Wherein, each associated with a content information using card.
Further, the intelligent recommendation system specifically includes:
Front end access gateway, for being attached with vehicle-mounted big screen system;
Content integrated gateway, the content information for the multinomial content information that accessing content information vendor is provided;
User setting management module, for being configured to each application card for user;
User tag management module obtains after carrying out analysis mining to each use information using card according to user Obtain the packet label information of user;
Customer incident management module, the real-time event for collecting vehicle;
Recommending module is analyzed, for carrying out intellectual analysis fortune to user information and content information library based on intelligent analysis process After calculation, content is shown using the content information of acquisition as recommendation.
Further, the intelligent recommendation system further includes:
Influence power computing module, for for each content information in content information library, being provided based on content provider Content information priority data, carry out influence power classification and grading, calculate the influence power of each content information.
Further, the intelligent recommendation system further includes:
Rules administration module, the business rule for intelligent algorithm to be arranged and priority orders.
The present invention solves third technical solution used by its technical problem:
The system that car-mounted display content is adaptively adjusted based on intelligent analysis process, including:
At least one processor;
At least one processor, for storing at least one program;
When at least one program is executed by least one processor so that at least one processor is realized The method that car-mounted display content is adaptively adjusted based on intelligent analysis process.
The method of the present invention, the advantageous effect of system are:The present invention is when detecting that vehicle-mounted big screen system starts, automatically aobvious Show the preset application of display systems on interface, while obtaining in real time in recommendation corresponding with the user display that cloud platform operation obtains Hold, carries out enumerating display in vehicle-mounted big screen system in a manner of application card, can show the preset of vehicle-mounted big screen system automatically Using, at the same can also obtain in real time recommendation show content after, on vehicle-mounted big screen system by application card in the form of opened up Showing, this programme can carry out the displaying of preset application and application card automatically, be carried out without clicking manually, high degree of automation, The usage experience of user is improved, and recommendation can be adjusted flexibly according to user preference and show content, so as to adjust corresponding Using card, regulative mode is simple, quick, and application cost is low, can be widely applied in automobile industry.
Description of the drawings
Fig. 1 is the flow chart of the method that car-mounted display content is adaptively adjusted based on intelligent analysis process of the present invention;
Fig. 2 is the display interface schematic diagram of vehicle-mounted big screen system in the specific embodiment of the invention;
Fig. 3 is the structural schematic diagram of the first system embodiment of the present invention;
Fig. 4 is the structure diagram of the second system embodiment of the present invention.
Specific implementation mode
Embodiment of the method
Referring to Fig.1, the present invention provides a kind of method adaptively adjusting car-mounted display content based on intelligent analysis process, Include the following steps:
When vehicle-mounted big screen system starts, the preset application of display systems on display interface automatically;
Recommendation corresponding with the user is obtained in real time and shows content, is pushed on vehicle-mounted big screen system, with application card Mode carries out enumerating display;
Wherein, the recommendation show content be cloud platform be based on intelligent analysis process to user information and content information library into At least one the content information obtained after row intellectual analysis operation, and it is each associated with a content information using card.
In the present embodiment, a display interface of vehicle-mounted big screen system as shown in Fig. 2, while showing m preset applications, Show that n are applied card, are each associated with a content information using card, when user needs to access relevant content information, Click directly on corresponding application card.
This method is when detecting that vehicle-mounted big screen system starts, the preset application of display systems on display interface automatically, together When obtain in real time cloud platform operation acquisition recommendations corresponding with the user show content, by application card in a manner of it is vehicle-mounted greatly Screen system carries out enumerating display, can show the preset application of vehicle-mounted big screen system automatically, while can also obtain recommendation in real time It after showing content, is shown in the form of application card on vehicle-mounted big screen system, this programme can be according to user preference spirit Adjustment living is recommended to show content, applies card so as to adjust corresponding, regulative mode is simple, quick, and application cost is low, Er Qieben Scheme can carry out the displaying of preset application and application card automatically, be carried out without clicking manually, and high degree of automation improves The usage experience of user.
And the recommendation of this programme shows that content is that cloud platform is based on intelligent analysis process to user information and content information Library is obtained after carrying out intellectual analysis operation, can be relatively rapid by way of carrying out intellectual analysis calculating in cloud platform It calculates and obtains corresponding recommendation display content, and on the basis of meeting personalized recommendation display, vehicle-mounted large-size screen monitors will not be increased The computation burden of system, it is ensured that the operational efficiency of vehicle-mounted big screen system.
It is further used as preferred embodiment, the content information lab setting is in cloud platform, by multinomial content information structure At, and each content information includes the content information that at least one content provider is provided;
The user information includes information-setting by user, user tag information and customer incident information;
The information-setting by user refers to user to each setting information using card;
The user tag information refers to analysis mining is carried out to each use information using card according to user after, obtained User packet label information;
The customer incident information refers to the real-time event of vehicle.
After carrying out analysis mining to each use information using card to user, the packet label of each user is obtained Information realizes the tagging management to user.Packet label information includes sport, film, game, novel, stock, politics, joy Happy Eight Diagrams, makeup etc..
Content information library is made of multinomial content information, each content information is carried including at least one content provider The content information of confession, therefore this programme can integrate the content information that multiple content providers provide, when some content provider The content information of offer goes wrong, or because when collaborative problem needs replacing content provider, does not need recall vehicles more New vehicle-mounted large-size screen monitors system, is updated content information library directly in cloud platform, convenient, fast, is convenient for pushing The operation of content.
In the present solution, content information includes at least one of following information:News, stock market, weather, music and broadcast. Content information refers to particular content in above-mentioned information, such as specific news content, weather content etc..
It is further used as preferred embodiment, it is further comprising the steps of:
For each content information in content information library, the priority number based on the content information that content provider provides According to progress influence power classification and grading calculate the influence power of each content information.
Specific calculation can be calculated according to calculation formula such as linear, index, multinomials, according to priority number According to calculate corresponding influence power is obtained, to which the section residing for influence power grades to influence power, so as to basis Influence power or influence power grading push content information, realize preferably push effect.
It is further used as preferred embodiment, the intelligent analysis process is specially:
Whether the priority orders of each business rule based on default settings, Ergodic judgement have business rule to be triggered, if Have, then according to the business rule being triggered, corresponding content information is obtained from content information library and is shown as the recommendation of user Content is obtained similar similar to the user preference conversely, using KNN sorting algorithms according to the analysis of user's history operation information User group, and then the history preference of each similar users of acquisition similar users group shows content as use from content information library The recommendation at family shows content;
Wherein, business rule refers to and the relevant information push rule of user information and/or content information library.
Specifically, business rule setting sends corresponding content information when meeting preset trigger condition.For example, business Rule 1 is set as driving to A as client, and when city A generation rainstorm weathers, to the day of client's preferential recommendation city A Gas information;Business rule 2 is set as when collecting user preference data, by related content message push to client;Business is advised Then 3 it is set as, when the influence power of content information is more than certain threshold value, which being pushed to client ....User can root Business rule is arbitrarily set according to practical situations, the push for meeting content information shows demand.
One specific example of intelligent analysis process is as follows:
Preset following 5 business rules:Customer incident rule, user setting rule, user tag rule, content letter Cease influence rule, content information priority rule, and set the priority orders of this 5 business rules as:Customer incident is advised Priority then is 1, the priority of user setting rule is 2, the priority of user tag rule is 3, content information influence power The priority of rule is 4, the priority of content information priority rule is 5, and the smaller then priority of priority number is higher.Setting After business rule, cloud platform circle collection user information and content information library are then based on intelligent analysis process and carry out intelligence Analysis is screened specific content information and is pushed to user when the event of business rule formulation occurs.When all business rules all It is not triggered, when there is no recommendation display content, then uses KNN sorting algorithms, analyzed according to user's history operation information Similar users group similar with the user preference is obtained, and then obtains the similar use of each of similar users group from content information library The history preference at family shows that content shows content as the recommendation of user.It is calculated by using KNN sorting algorithms and obtains user's After similar users group, the history preference for obtaining similar users shows that content shows content as the recommendation of user, can be with maximum journey The interested content of push user of degree.
It is further used as preferred embodiment, it is further comprising the steps of:
Card is applied associated by content information for newest push display, it is shown into line flicker.
In the present solution, showing content by obtaining recommendation corresponding with the user in real time, it is pushed on vehicle-mounted big screen system, It carries out enumerating display in a manner of application card.When having difference in front and back corresponding with user recommendation display obtaining twice When, the content information of newest push display is obtained, is shown for flicker is carried out using card associated by the content information, it can be with The newest content information of user is reminded, realizes better display effect.
It is further used as preferred embodiment, it is further comprising the steps of:
Multiple for display simultaneously apply card, Tiao Zheng not apply the display position of card each according to pre-set priority It sets.
User can preset the other application card of different priorities in vehicle according to the use habit or preference of oneself The display location in big screen system is carried, thus when enumerating the multiple application cards of display, it can be according to priority set by user It does not adjust each display location using card, realizes better user experience.
The first system embodiment
With reference to Fig. 3, the system that car-mounted display content is adaptively adjusted based on intelligent analysis process, including be arranged in cloud platform Intelligent recommendation system and the information display module in vehicle-mounted big screen system is set;The intelligent recommendation system and vehicle-mounted large-size screen monitors system System is connected;
The intelligent recommendation system is used to carry out intelligence point to user information and content information library based on intelligent analysis process At least one content information is obtained after analysis operation as recommendation display content;
Described information display module is used for:When vehicle-mounted big screen system starts, display systems are pre- on display interface automatically Set application;And obtain recommendation corresponding with the user in real time and show content, it is pushed on vehicle-mounted big screen system, to apply card Mode carry out enumerating display;
Wherein, each associated with a content information using card.
Preferably, the intelligent analysis process is specially:
Whether the priority orders of each business rule based on default settings, Ergodic judgement have business rule to be triggered, if Have, then according to the business rule being triggered, corresponding content information is obtained from content information library and is shown as the recommendation of user Content is obtained similar similar to the user preference conversely, using KNN sorting algorithms according to the analysis of user's history operation information User group, and then the history preference of each similar users of acquisition similar users group shows content as use from content information library The recommendation at family shows content;
Wherein, business rule refers to and the relevant information push rule of user information and/or content information library.
It is further used as preferred embodiment, the intelligent recommendation system specifically includes:
Front end access gateway carries out data interaction, realizes load balancing, card for being attached with vehicle-mounted big screen system The functions such as book certification, protocol conversion, encrypting and decrypting and flow restriction;
Content integrated gateway, for the content information for the multinomial content information that accessing content information vendor is provided, tool Body is additionally operable to realize the functions such as protocol conversion and business packed;
User setting management module, for being configured to each application card for user;
User tag management module obtains after carrying out analysis mining to each use information using card according to user User packet label information, realize to the tagging management of user, such as user is added into sport, film, game, small It says, stock, politics, amusement Eight Diagrams, makeup etc. are grouped label information;
Customer incident management module, the real-time event for collecting vehicle;
Recommending module is analyzed, for carrying out intellectual analysis fortune to user information and content information library based on intelligent analysis process After calculation, content is shown using the content information of acquisition as recommendation.
It is further used as preferred embodiment, the intelligent recommendation system further includes:
Influence power computing module, for for each content information in content information library, being provided based on content provider Content information priority data, carry out influence power classification and grading, calculate the influence power of each content information.
It is further used as preferred embodiment, the intelligent recommendation system further includes:
Rules administration module, the business rule for intelligent algorithm to be arranged and priority orders.
It is further used as preferred embodiment, described information display module is additionally operable to:
Card is applied associated by content information for newest push display, it is shown into line flicker.
It is further used as preferred embodiment, described information display module is additionally operable to:
Multiple for display simultaneously apply card, Tiao Zheng not apply the display position of card each according to pre-set priority It sets.
The system that car-mounted display content is adaptively adjusted based on intelligent analysis process of the present embodiment, before can perform the present invention The method that car-mounted display content is adaptively adjusted based on intelligent analysis process that embodiment of the method is provided is stated, executing method is real The arbitrary combination implementation steps for applying example, have the corresponding function of this method and advantageous effect.
Second system embodiment
With reference to Fig. 4, the system that car-mounted display content is adaptively adjusted based on intelligent analysis process, including:
At least one processor 100;
At least one processor 200, for storing at least one program;
When at least one program is executed by least one processor 100 so that at least one processor 100 realize the method that car-mounted display content is adaptively adjusted based on intelligent analysis process.
The system that car-mounted display content is adaptively adjusted based on intelligent analysis process of the present embodiment can perform present invention side The method that car-mounted display content is adaptively adjusted based on intelligent analysis process that method embodiment is provided, executing method embodiment Arbitrary combination implementation steps, have the corresponding function of this method and advantageous effect.
It is to be illustrated to the preferable implementation of the present invention, but the invention is not limited to the implementation above Example, those skilled in the art can also make various equivalent variations or be replaced under the premise of without prejudice to spirit of that invention It changes, these equivalent modifications or replacement are all contained in the application claim limited range.

Claims (10)

1. the method for adaptively adjusting car-mounted display content based on intelligent analysis process, which is characterized in that include the following steps:
When vehicle-mounted big screen system starts, the preset application of display systems on display interface automatically;
Recommendation corresponding with the user is obtained in real time and shows content, is pushed on vehicle-mounted big screen system, in a manner of application card It carries out enumerating display;
Wherein, the recommendation shows that content is that cloud platform is based on intelligent analysis process to user information and content information library progress intelligence At least one the content information obtained after energy analytic operation, and it is each associated with a content information using card.
2. the method according to claim 1 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, the content information lab setting is made of in cloud platform multinomial content information, and each content information includes at least one The content information that a content provider is provided;
The user information includes information-setting by user, user tag information and customer incident information;
The information-setting by user refers to user to each setting information using card;
The user tag information refers to analysis mining is carried out to each use information using card according to user after, the use that is obtained The packet label information at family;
The customer incident information refers to the real-time event of vehicle.
3. the method according to claim 2 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, it is further comprising the steps of:
For each content information in content information library, the priority data based on the content information that content provider provides, Influence power classification and grading are carried out, the influence power of each content information is calculated.
4. the method according to claim 3 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, the intelligent analysis process is specially:
Whether the priority orders of each business rule based on default settings, Ergodic judgement have business rule to be triggered, if so, then According to the business rule being triggered, the recommendation that corresponding content information is obtained from content information library as user shows content, Conversely, using KNN sorting algorithms, similar users similar with the user preference are obtained according to the analysis of user's history operation information Group, and then the history preference of each similar users of acquisition similar users group shows content as user's from content information library Recommend to show content;
Wherein, business rule refers to and the relevant information push rule of user information and/or content information library.
5. the method according to claim 1 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, it is further comprising the steps of:
Card is applied associated by content information for newest push display, it is shown into line flicker.
6. the method according to claim 1 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, it is further comprising the steps of:
Multiple for display simultaneously apply card, Tiao Zheng not apply the display location of card each according to pre-set priority.
7. the system for adaptively adjusting car-mounted display content based on intelligent analysis process, which is characterized in that flat in cloud including setting The intelligent recommendation system of platform and the information display module in vehicle-mounted big screen system is set;
The intelligent recommendation system is used to carry out intellectual analysis fortune to user information and content information library based on intelligent analysis process At least one content information is obtained after calculation shows content as recommendation;
Described information display module is used for:When vehicle-mounted big screen system starts, display systems are preset on display interface automatically answers With;And obtain recommendation corresponding with the user in real time and show content, it is pushed on vehicle-mounted big screen system, with the side of application card Formula carries out enumerating display;
Wherein, each associated with a content information using card.
8. the system according to claim 7 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, the intelligent recommendation system specifically includes:
Front end access gateway, for being attached with vehicle-mounted big screen system;
Content integrated gateway, the content information for the multinomial content information that accessing content information vendor is provided;
User setting management module, for being configured to each application card for user;
User tag management module is used after carrying out analysis mining to each use information using card according to user The packet label information at family;
Customer incident management module, the real-time event for collecting vehicle;
Recommending module is analyzed, for carrying out intellectual analysis operation to user information and content information library based on intelligent analysis process Afterwards, content is shown using the content information of acquisition as recommendation.
9. the system according to claim 7 for adaptively adjusting car-mounted display content based on intelligent analysis process, feature It is, the intelligent recommendation system further includes:
Influence power computing module, each content information for being directed in content information library, based in content provider's offer Hold the priority data of information, carries out influence power classification and grading, calculate the influence power of each content information.
10. the system for adaptively adjusting car-mounted display content based on intelligent analysis process, which is characterized in that including:
At least one processor;
At least one processor, for storing at least one program;
When at least one program is executed by least one processor so that at least one processor is realized as weighed Profit requires the method that 1-6 any one of them adaptively adjusts car-mounted display content based on intelligent analysis process.
CN201810041405.8A 2018-01-16 2018-01-16 The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process Pending CN108401009A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810041405.8A CN108401009A (en) 2018-01-16 2018-01-16 The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810041405.8A CN108401009A (en) 2018-01-16 2018-01-16 The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process

Publications (1)

Publication Number Publication Date
CN108401009A true CN108401009A (en) 2018-08-14

Family

ID=63094944

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810041405.8A Pending CN108401009A (en) 2018-01-16 2018-01-16 The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process

Country Status (1)

Country Link
CN (1) CN108401009A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109726329A (en) * 2018-12-29 2019-05-07 百度在线网络技术(北京)有限公司 Content recommendation method, device and equipment
CN112017462A (en) * 2020-08-25 2020-12-01 禾多科技(北京)有限公司 Method, apparatus, electronic device, and medium for generating scene information
CN113434643A (en) * 2021-05-20 2021-09-24 华为技术有限公司 Information recommendation method and related equipment
CN114885015A (en) * 2022-03-22 2022-08-09 重庆长安汽车股份有限公司 Method and related device for pushing content by vehicle-mounted central control system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103786061A (en) * 2014-01-13 2014-05-14 郭海锋 Vehicular robot device and system
CN104753978A (en) * 2013-12-26 2015-07-01 上海博泰悦臻网络技术服务有限公司 Vehicle-mounted message push method and vehicle-mounted message service system
US20170142482A1 (en) * 2015-11-13 2017-05-18 Le Holdings (Beijing) Co., Ltd. Video platform monitoring and analyzing system
CN106713390A (en) * 2015-11-13 2017-05-24 北京奇虎科技有限公司 Vehicle information sharing method and system and device
CN106815305A (en) * 2016-12-15 2017-06-09 安徽扬能电子科技有限公司 A kind of vehicle-mounted wisdom terminal system based on data analysis
CN106897382A (en) * 2017-01-22 2017-06-27 斑马信息科技有限公司 The vehicle-mounted content service system of adaptability and devices and methods therefor
CN106933955A (en) * 2017-01-22 2017-07-07 斑马信息科技有限公司 The vehicle-mounted content service system of adaptability and devices and methods therefor

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104753978A (en) * 2013-12-26 2015-07-01 上海博泰悦臻网络技术服务有限公司 Vehicle-mounted message push method and vehicle-mounted message service system
CN103786061A (en) * 2014-01-13 2014-05-14 郭海锋 Vehicular robot device and system
US20170142482A1 (en) * 2015-11-13 2017-05-18 Le Holdings (Beijing) Co., Ltd. Video platform monitoring and analyzing system
CN106713390A (en) * 2015-11-13 2017-05-24 北京奇虎科技有限公司 Vehicle information sharing method and system and device
CN106815305A (en) * 2016-12-15 2017-06-09 安徽扬能电子科技有限公司 A kind of vehicle-mounted wisdom terminal system based on data analysis
CN106897382A (en) * 2017-01-22 2017-06-27 斑马信息科技有限公司 The vehicle-mounted content service system of adaptability and devices and methods therefor
CN106933955A (en) * 2017-01-22 2017-07-07 斑马信息科技有限公司 The vehicle-mounted content service system of adaptability and devices and methods therefor

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109726329A (en) * 2018-12-29 2019-05-07 百度在线网络技术(北京)有限公司 Content recommendation method, device and equipment
CN112017462A (en) * 2020-08-25 2020-12-01 禾多科技(北京)有限公司 Method, apparatus, electronic device, and medium for generating scene information
CN112017462B (en) * 2020-08-25 2021-08-31 禾多科技(北京)有限公司 Method, apparatus, electronic device, and medium for generating scene information
CN113434643A (en) * 2021-05-20 2021-09-24 华为技术有限公司 Information recommendation method and related equipment
WO2022242699A1 (en) * 2021-05-20 2022-11-24 华为技术有限公司 Information recommendation method and related device
CN114885015A (en) * 2022-03-22 2022-08-09 重庆长安汽车股份有限公司 Method and related device for pushing content by vehicle-mounted central control system

Similar Documents

Publication Publication Date Title
CN108401009A (en) The method and system of car-mounted display content is adaptively adjusted based on intelligent analysis process
AU2021203090A1 (en) Method and system for applying dynamic and adaptive testing techniques to a software system to improve selection of predictive models for personalizing user experiences in the software system
AU2021203258A1 (en) Method and system for updating analytics models that are used to dynamically and adaptively provide personalized user experiences in a software system
US20170142482A1 (en) Video platform monitoring and analyzing system
US20150310392A1 (en) Job recommendation engine using a browsing history
US20150317754A1 (en) Creation of job profiles using job titles and job functions
CN106021449A (en) Searching method and device for mobile terminal and mobile terminal
US9600073B2 (en) Automated adjustment of content composition rules based on evaluation of user feedback obtained through haptic interface
US20170294133A1 (en) Arrangement and method for online learning
WO2011120139A1 (en) Participant response system and method
US11720616B2 (en) Customizing digital content with editorial content
US20200133439A1 (en) Chat session dynamic user interface
CN115017400A (en) Application APP recommendation method and electronic equipment
US8954447B1 (en) Annotation-based content rankings
US20190304034A1 (en) Determining an effect of a message on a personal brand based on future goals
US9710151B2 (en) Evaluation of digital content using non-intentional user feedback obtained through haptic interface
CN111782933B (en) Method and device for recommending booklets
US20110320943A1 (en) Process and Apparatus for Computer Training
McCarthy et al. Social interaction in the cats group recommender
CN110909237A (en) Method, device, equipment and computer readable medium for recommending content
US10346927B1 (en) Method and system for providing a personalized user experience in a tax return preparation system based on predicted life events for a user
CN110781384B (en) Priority-based content recommendation method, device, equipment and medium
Rim et al. Evaluation method for an adaptive web interface: GOMS model
US20200394933A1 (en) Massive open online course assessment management
US9547424B1 (en) Querying publisher goal and customizing suggestions to achieve goal

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180814

RJ01 Rejection of invention patent application after publication