CN109685614A - Travelling products recommended method, device, computer equipment and storage medium - Google Patents
Travelling products recommended method, device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of travelling products recommended method, device, computer equipment and storage mediums.The described method includes: obtaining target user in the logon information of travelling products website, the identification information of target user is obtained according to logon information；Determine target user in the class of subscriber of travelling products website according to identification information；When target user is first kind user, preset assessment interface is shown, include at least multiple assessment topics in interface of testing and assessing；Target user is obtained to the answer data of assessment topic, determines first object recommendation list according to data are replied, travelling products are recommended to target user according to first object recommendation list.The matching degree of recommended travelling products and user demand is able to ascend using this method.
Description
Technical field
This application involves data mining technology fields, more particularly to a kind of travelling products recommended method, device, computer
Equipment and storage medium.
Background technique
With the development of economy, tourism has become a kind of relaxation pattern that people like, and tourist industry also becomes very
The pillar industry in more places, excessive travelling products usually allow people to be difficult to select.It is different from other commodity, the valence of travelling products
Ge Genggao, and have certain requirement in time, so people consider more for the selection of travelling products.
The way of recommendation of traditional travelling products is often directed to frequent customer and carries out Products Show, and is directed to new client, only
Can according to distance carry out travelling products recommendation, the travelling products that this mode promotes often with the matching degree of user demand
It is low.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of trip being able to ascend with the matching degree of user demand
Swim Products Show method, apparatus, computer equipment and storage medium.
A kind of travelling products recommended method, which comprises
Target user is obtained in the logon information of travelling products website, the identity mark of target user is obtained according to logon information
Know information；
Determine target user in the class of subscriber of travelling products website according to identification information；
When target user is first kind user, preset assessment interface is shown, include at least in interface of testing and assessing multiple
Assessment topic；
Target user is obtained to the answer data of assessment topic, determines first object recommendation list, root according to data are replied
Recommend travelling products to target user according to first object recommendation list.
Above-mentioned travelling products recommended method in one of the embodiments, further includes:
When target user is Second Type user, the travelling products browsing list and travelling products for obtaining target user are searched
Suo Liebiao；
According to the Product labelling of the travelling products in travelling products browsing list, determine that travelling products browsing list is corresponding
Product labelling set；
The first recommendation list is determined according to travelling products browsing list, and the second recommendation is determined according to travelling products search listing
List determines third recommendation list according to travelling products browsing list and Product labelling set；
The second target recommendation list is determined according to the first recommendation list, the second recommendation list and third recommendation list, according to
Second target recommendation list recommends travelling products to target user.
Above-mentioned travelling products recommended method in one of the embodiments, further includes: obtain the tourism of current slot
Product sales volume information determines substitute recommendation list according to travelling products sales volume information；It is above-mentioned according to the first recommendation list, second
Recommendation list and third recommendation list determine the second target recommendation list, comprising: recommend to arrange according to the first recommendation list, second
Table, third recommendation list and substitute recommendation list determine the second target recommendation list.
It is above-mentioned in one of the embodiments, that the first recommendation list is determined according to travelling products browsing list, comprising:
According to travelling products browsing list, determines the similarity in travelling products browsing list between each travelling products, obtain
To the similarity list of each travelling products；
Identical entry merging, similarity superposition are carried out to each similarity list, obtain the similarity superposition value of each travelling products；
The travelling products that the first quantity is chosen according to each similarity superposition value, obtain the first recommendation list.
It is above-mentioned in one of the embodiments, to determine that third pushes away according to travelling products browsing list and Product labelling set
Recommend list, comprising:
It is that the Product labelling of the travelling products in travelling products browsing list configures power according to preset weight configuration rule
Weight values；
The weighted value configured to the Product labelling of the travelling products in travelling products browsing list carries out at summation respectively
Reason, obtains the Product labelling weighted value of each Product labelling；
The Product labelling that the second quantity is chosen according to the Product labelling weighted value of each Product labelling, obtains the use of target user
Family portrait tally set；
According to the travelling products of the first nearest quantity of user portrait tally set screening distance objective user, obtains third and push away
Recommend list.
In one of the embodiments, it is above-mentioned according to the first recommendation list, the second recommendation list, third recommendation list with
And substitute recommendation list determines the second target recommendation list, including
According to preset filter condition respectively to the trip in the first recommendation list, the second recommendation list, third recommendation list
Trip product is filtered；
According to the first recommendation list, the second recommendation list, the third recommendation list after filtration treatment, determine that initial recommendation arranges
Table；
If the quantity of initial recommendation list is less than preset amount threshold, travelling products are chosen from substitute recommendation list and are mended
It is charged to initial recommendation list；
It is reordered according to preset disaggregated model to the travelling products in initial recommendation list, according to reordering to obtain
Travelling products list choose the first quantity travelling products, obtain the second target recommendation list.
In one of the embodiments, the Product labelling of above-mentioned travelling products include travelling products self attributes label,
Trip group's attribute tags and out visitor feed back label.
A kind of travelling products recommendation apparatus, device include:
Identification module is obtained for obtaining target user in the logon information of travelling products website according to logon information
Take the identification information of target user；
Class discrimination module, for determining target user in the user class of travelling products website according to identification information
Not；
Showing interface module, for showing preset assessment interface when target user is first kind user, test and assess boundary
Multiple assessment topics are included at least in face；
Products Show module determines the according to data are replied for obtaining target user to the answer data of assessment topic
One target recommendation list recommends travelling products to target user according to first object recommendation list.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, processor perform the steps of when executing computer program
Target user is obtained in the logon information of travelling products website, the identity mark of target user is obtained according to logon information
Know information；
Determine target user in the class of subscriber of travelling products website according to identification information；
When target user is first kind user, preset assessment interface is shown, include at least in interface of testing and assessing multiple
Assessment topic；
Target user is obtained to the answer data of assessment topic, determines first object recommendation list, root according to data are replied
Recommend travelling products to target user according to first object recommendation list.
A kind of computer readable storage medium is stored thereon with computer program, when computer program is executed by processor
It performs the steps of
Target user is obtained in the logon information of travelling products website, the identity mark of target user is obtained according to logon information
Know information；
Determine target user in the class of subscriber of travelling products website according to identification information；
When target user is first kind user, preset assessment interface is shown, include at least in interface of testing and assessing multiple
Assessment topic；
Target user is obtained to the answer data of assessment topic, determines first object recommendation list, root according to data are replied
Recommend travelling products to target user according to first object recommendation list.
Above-mentioned travelling products recommended method, device, computer equipment and storage medium are to obtain target user to produce in tourism
The logon information of product website obtains the identification information of target user according to the logon information, according to the identification information
Determine that target user shows preset survey when target user is first kind user in the class of subscriber of travelling products website
Comment interface, in the assessment interface include at least multiple assessment topics, obtain target user to assessment topic answer data, according to
It replies data and determines first object recommendation list, travelling products are recommended to target user according to first object recommendation list.Due to
It is the determination that first object recommendation list is carried out according to the answer data of target user, in this way, by setting and can obtain
User demand is relevant to test and assess topic to promote the matching degree of recommended travelling products and user demand.
Detailed description of the invention
Fig. 1 is the applied environment figure of travelling products recommended method in one embodiment；
Fig. 2 is the flow diagram of travelling products recommended method in one embodiment；
Fig. 3 is the flow diagram of travelling products recommended method in another embodiment；
Fig. 4 is the flow diagram that the first recommendation list determines step in one embodiment；
Fig. 5 is the flow diagram that third recommendation list determines step in one embodiment；
Fig. 6 is the flow diagram that the second target recommendation list determines step in one embodiment；
Fig. 7 is the structural block diagram of travelling products recommendation apparatus in one embodiment；
Fig. 8 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
It should be noted that term involved in the embodiment of the present application " first second third " be only distinguish it is similar
Object does not represent the particular sorted for object, it is possible to understand that ground, " first second third " can be mutual in the case where permission
Change specific sequence or precedence.It should be understood that the object that " first second third " is distinguished in the appropriate case can be mutual
It changes, so that embodiments herein described herein can be real with the sequence other than those of illustrating or describing herein
It applies.
Travelling products recommended method provided by the present application, can be applied in application environment as shown in Figure 1.Such as Fig. 1 institute
Show, which can be applied to travelling products recommender system.The travelling products recommender system includes terminal 102
With server 104.Wherein, terminal 102 is communicated with server 104 by network by network.Terminal 102 can with but it is unlimited
Then various personal computers, laptop, smart phone, tablet computer and portable wearable device, server 104 can
To be realized with the independent server either server cluster that forms of multiple servers.
In one embodiment, as shown in Fig. 2, providing a kind of travelling products recommended method, it is applied to Fig. 1 in this way
In server for be illustrated, comprising the following steps:
Step 202: obtaining target user in the logon information of travelling products website, target user is obtained according to logon information
Identification information；
Here, logon information may include user name.Identification information is can to distinguish the information of different user, can be with
Direct identification information of user name of the target user in the logon information of travelling products website as the target user,
It is also possible to that identity of the information as the target user of different user can be distinguished bind with the user name one into
Information.
Step 204: determining target user in the class of subscriber of travelling products website according to identification information；
Here, class of subscriber may include that new user (user for first logging into the travelling products website) and old user are (non-
First log into the user of the travelling products website).It is also possible to include logging in the number of the travelling products website less than pre- gating
The user of limit value, and log in the number of the travelling products website and be no less than the user of predetermined threshold value.
Specifically, target user can be determined in the login times of the travelling products website, root according to identification information
Determine the target user in the class of subscriber of the travelling products website in travelling products website according to this.
Step 206, when target user is first kind user, preset assessment interface is shown, in interface of testing and assessing at least
Including multiple assessment topics；
Here, first kind user can refer to new user or login times are less than the user of predetermined threshold value, or
Person's products browse record information is unsatisfactory for the user of preset condition, which can set according to actual needs, for example, clear
Duration of looking at is greater than preset duration threshold value, and products browse quantity is greater than pre-set product number threshold value.Wherein, test and assess topic topic type it is general
It is preferred with multiple-choice question, but is also not necessarily limited to multiple-choice question.
Wherein, the quantity of topic of testing and assessing and item content can be set according to actual needs, which is to be used for
Target user is understood to the topic of travelling products demand.
It wherein, can also include some pictures in assessment interface in addition to including assessment topic, these pictures can be surveyed arbitrarily
The problem of commenting topic is associated, be also possible to arbitrarily test and assess topic answer choice it is associated, for example, can be with tourist attractions
Sight spot picture.
Step 208, target user is obtained to the answer data of assessment topic, determines that first object is recommended according to data are replied
List recommends travelling products to target user according to first object recommendation list.
Here, the content (for multiple-choice question) that data also may include the selected option of target user is replied, it can be with
Select the content filled in including target user (for non-selection topic).First object recommendation list be include that certain number of tourism produces
The list of product.
It specifically, can be after obtaining target user to the answer data of assessment topic, according to preset lists of keywords
Target keyword included in the answer data is extracted, according to target keyword inquiry and the matched trip of the target keyword
Swim product, generate first object recommendation list according to the travelling products that inquire, by first object recommendation list part or
Person's whole travelling products recommend target user.
It is to obtain target user in the logon information of travelling products website, according to this in above-mentioned travelling products recommended method
Logon information obtains the identification information of target user, determines target user in travelling products net according to the identification information
The class of subscriber stood shows preset assessment interface, at least wraps in the assessment interface when target user is first kind user
Multiple assessment topics are included, target user is obtained to the answer data of assessment topic, determines that first object is recommended according to data are replied
List recommends travelling products to target user according to first object recommendation list.By the answer data thus according to target user
Carry out the determination of first object recommendation list, in this way, can by setting and the relevant assessment topic of acquisition user demand come
Promote the matching degree of recommended travelling products and user demand.
In one embodiment, as shown in figure 3, providing a kind of travelling products recommended method, it is applied to Fig. 1 in this way
In server for be illustrated, comprising the following steps:
Step S302: target user is obtained in the logon information of travelling products website, target is obtained according to logon information and is used
The identification information at family；
Step S304: determine target user in the class of subscriber of travelling products website according to identification information；
Step S306: when target user is first kind user, showing preset assessment interface, in interface of testing and assessing at least
Including multiple assessment topics；
Step S308: target user is obtained to the answer data of assessment topic, determines that first object pushes away according to data are replied
List is recommended, travelling products are recommended to target user according to first object recommendation list；
Step S302~step S308 in the present embodiment can accordingly referring to above-mentioned step S202~step S208,
It will not be described here.
Step S310: target user be Second Type user when, obtain target user travelling products browsing list and
Travelling products search listing；
Here, Second Type user can refer to that old user or login times are no less than the user of predetermined threshold value,
Or products browse record information meets the user of preset condition, which can set according to actual needs, for example, clear
Duration of looking at is greater than preset duration threshold value, and products browse number is greater than pre-set product number threshold value.Wherein, test and assess topic topic type generally with
Multiple-choice question is preferred, but is also not necessarily limited to multiple-choice question.
Here, travelling products browsing list, which refers to, has occurred the column of the travelling products of browsing behavior in the travelling products website
Table.Wherein, browsing behavior can be, but not limited to be to click, browse the user behaviors such as duration, search, collection, inquiry and purchase.
Travelling products search listing, which refers to, has occurred the list of the travelling products of search behavior in the travelling products website.
Step S312: according to the Product labelling of the travelling products in travelling products browsing list, determine that travelling products browse
The corresponding Product labelling set of list；
Specifically, the Product labelling for obtaining each travelling products in the travelling products browsing list respectively, according to acquisition
To Product labelling determine the corresponding Product labelling set of the travelling products browsing list.
Step S314: determining the first recommendation list according to travelling products browsing list, true according to travelling products search listing
Fixed second recommendation list, determines third recommendation list according to travelling products browsing list and Product labelling set；
Wherein, the first recommendation list, the second recommendation list and third recommendation list are the trip in the travelling products website
The set of product is swum, the number of travelling products can be identical in the first recommendation list, the second recommendation list and third recommendation list,
It can also be different.
Step S316: determine that the second target is recommended according to the first recommendation list, the second recommendation list and third recommendation list
List recommends travelling products to target user according to the second target recommendation list.
Specifically, it can be assigned for the travelling products in the first recommendation list, the second recommendation list and third recommendation list
Then weight is filtered fusion to the travelling products in these three recommendation lists and obtains consequently recommended list, final according to this
The weighted value of travelling products in recommendation list assigned is ranked up, and is produced according to the tourism that ranking results choose setting quantity
Product (such as top n travelling products), obtain the second target recommendation list, are pushed away according to the second target recommendation list to target user
Recommend travelling products.
In the present embodiment, travelling products browsing behavior, travelling products search behavior and tourism based on target user are produced
Product label determines the second target recommendation list, and travelling products browsing behavior, travelling products search behavior and travelling products mark
Label are information related with the demand of target user, in this way, can also promote institute when target user is Second Type user
The travelling products of recommendation and the matching degree of target user's demand.Meanwhile travelling products browsing list and travelling products search listing
It can be obtained by the record data of travelling products website, not need the data by means of other data sources, data acquisition was both
It is quick and convenient.
The travelling products recommended method of the application in one of the embodiments, can also include: acquisition current slot
Travelling products sales volume information, according to travelling products sales volume information determine substitute recommendation list；Above-mentioned recommends to arrange according to first
Table, the second recommendation list and third recommendation list determine the second target recommendation list, may include: according to the first recommendation list,
Second recommendation list, third recommendation list and substitute recommendation list determine the second target recommendation list.
Wherein, current slot may be set according to actual conditions, for example, it may be of that month or this season.It can basis
Travelling products sales volume information chooses the travelling products of the setting quantity of sales volume forward (sales volume is big), obtains substitute recommendation list.
Specifically, according to the first recommendation list, the second recommendation list, third recommendation list, the travelling products selected
When quantity is unsatisfactory for requiring, a part of travelling products can be chosen from substitute recommendation list.
Using this embodiment scheme, in the trip determined according to the first recommendation list, the second recommendation list, third recommendation list
When swimming product quantity deficiency, it can also be produced according to the tourism that the travelling products in substitute recommendation list substitute, and substitute
Product are determined according to travelling products sales volume information, and general big travelling products of sales volume, and the interest-degree of user is also bigger, such as
This, can also promote the matching degree of recommended travelling products and target user's demand as far as possible.
In one of the embodiments, as shown in figure 4, above-mentioned determine that the first recommendation arranges according to travelling products browsing list
Table may include:
Step S402: it according to travelling products browsing list, determines in travelling products browsing list between each travelling products
Similarity obtains the similarity list of each travelling products；
For example, travelling products browsing list is L (L1,L2,L3…Li….Lm), m is the trip in the travelling products browsing list
Swim the sum of product, wherein each travelling products there can be a tally set respectively, for example, such as travelling products LiLabel
Collection is (sandy beach, pleasure boat, parent-offspring, 3 days, high-speed rail ...).
Wherein it is possible to determine the similarity between travelling products using cosine similarity.It specifically, can be according to following
Formula (1) determines the similarity in travelling products browsing list between each travelling products, obtains the similarity column of each travelling products
Table.
In formula, | Ni∩Nj| it is the co-occurrence number of product i and product j, the time that product j occurs inside sequence is in product i
A just effective degree at last later, | Ni| it is the frequency of occurrence of product i, | Nj| be product j frequency of occurrence, 0 < α < 1, such as
This, the corresponding similarity matrix W of each travelling products in available travelling products browsing list.According to similarity matrix W
Obtain the similarity list S of i-th of producti(i=1,2,3 ..., m), such available m similarity list；
After obtaining similarity matrix, target user can also be obtained by following formula (2) to the interest-degree of product j:
In formula, L is the travelling products browsing list of target user, SjIt is the set of travelling products similar with product j,
ωijFor the similarity of product j and product i, ruiIt is target user to the interest-degree of product i.
Step S404: identical entry merging, similarity superposition are carried out to each similarity list, obtain the similar of each travelling products
Spend superposition value；
Specifically, after obtaining m similarity list, the identical entry of this m similarity list can be merged, similarity
Superposition, obtains the similarity superposition value of each travelling products.
Step S406: the travelling products of the first quantity are chosen according to each similarity superposition value, obtain the first recommendation list；
Wherein, the size of the first quantity can set according to actual needs
Specifically, according to similarity superposition value, each travelling products in travelling products browsing list are ranked up (from big
To small), the travelling products for the first forward quantity that sorts are taken, the first recommendation list is obtained.
In view of search behavior shows that user has some product or destination strong interest, can be based on searching
Rope number, the hits for searching for product, products browse time are product, assign a power to each travelling products according to rule
Weight, is ranked up (from big to small) each travelling products in travelling products search listing according to the weight, takes sequence forward
The travelling products of first quantity obtain the second recommendation list.
It is in one of the embodiments, as shown in figure 5, above-mentioned according to travelling products browsing list and Product labelling set
It determines third recommendation list, may include:
Step S502: being the product of the travelling products in travelling products browsing list according to preset weight configuration rule
Label configures weighted value；
Specifically, can be divided into the section of certain amount according to length, below for being divided into 5 sections the browsing time
It is illustrated, configuring weighted values for this 5 sections is respectively w1、w2、w3、w4And w5, collect and then configure weighted value w6, drop-down click
Then configure weighted value w7；In this way, the Product labelling for the travelling products in travelling products browsing list is all configured for several
Weighted value.
Step S504: the weighted value that the Product labelling of the travelling products in travelling products browsing list is configured respectively into
Row summation process obtains the Product labelling weighted value of each Product labelling；
Specifically, the weighted value configured to the same Product labelling carries out summation process respectively, obtains each Product labelling
Product labelling weighted value.
Step S506: the Product labelling of the second quantity is chosen according to the Product labelling weighted value of each Product labelling, obtains mesh
Mark user's portrait tally set of user；
Wherein, the size of the second quantity can be set according to actual needs, for example, 10.
Step S508: screening the travelling products of the first nearest quantity of distance objective user according to user's portrait tally set,
Obtain third recommendation list.
Specifically, according to user's portrait tally set, screening is matched with user's portrait tally set, and distance objective user is nearest
The first quantity travelling products, obtain third recommendation list.
In the present embodiment, user's portrait tally set is determined based on travelling products browsing list and Product labelling set, the
Three recommendation lists are obtained according to user's portrait tally set, this manner it is also possible to promote recommended travelling products and target user
The matching degree of demand.
It is in one of the embodiments, as shown in fig. 6, above-mentioned according to the first recommendation list, the second recommendation list, third
Recommendation list and substitute recommendation list determine the second target recommendation list, may include:
Step S602: column are recommended to the first recommendation list, the second recommendation list, third respectively according to preset filter condition
Travelling products in table are filtered；
Here, filter condition can be set according to actual needs, meanwhile, filter condition can also dynamic in period difference
It updates.For example, the seasonality of travelling products, part sight spot is just to be suitble in some period, such as admire the beauty of flowers, play snow etc.,
So can be fallen by configurating filtered condition filter if the period is improper.
Step S604: it according to the first recommendation list, the second recommendation list and the third recommendation list after filtration treatment, determines
Initial recommendation list；
It specifically, can be in the first recommendation list, the second recommendation list and the third recommendation list after filtration treatment
Travelling products, using identical weight, for two in the first recommendation list, the second recommendation list and third recommendation list or
The a certain travelling products having in three recommendation lists of person can sum to the weight assigned, for example, each first recommends
The weight that travelling products in list, the second recommendation list and third recommendation list are assigned is a, if travelling products x there is only
In a recommendation list in the first recommendation list, the second recommendation list and third recommendation list, then the weight of travelling products x
For a, if travelling products y is present in two recommendation lists in the first recommendation list, the second recommendation list and third recommendation list
In, then the weight of travelling products y is 2a, if travelling products z is present in the first recommendation list, the second recommendation list and third and recommends
In these three recommendation lists of list, then the weight of travelling products z is 3a, in this way, can be selected according to the weight of each travelling products
Travelling products are taken to form initial recommendation list.The size of a can be chosen according to actual needs.
Step S606: it if the quantity of initial recommendation list is less than preset amount threshold, is chosen from substitute recommendation list
Travelling products add to initial recommendation list；
Here, the size of amount threshold usually can be not less than the first quantity determine according to actual needs.
Specifically, few compared to the amount threshold several if the quantity of the initial recommendation list, just from substitute recommendation list
It chooses several travelling products and adds to the initial recommendation list.
Step S608: reordering to the travelling products in initial recommendation list according to preset disaggregated model, according to
The travelling products of the first quantity are chosen in the travelling products list reordered, and obtain the second target recommendation list.
Specifically, it can be modeled according to preset sorting algorithm (for example, XGBOOST algorithm), positive sample is to recommend
And the travelling products that target user clicked, negative sample are the sample that do not clicked by target user after presenting, and use what is built up
After model reorders to the travelling products in initial recommendation list, is obtained according to the travelling products of the first forward quantity
Two target recommendation lists.
In the present embodiment, not only to the travelling products in the first recommendation list, the second recommendation list and third recommendation list
Filtration treatment has been carried out, in this way, can should further have been promoted and to be recommended based on being reordered whether click
The matching degree of travelling products and target user's demand.
The Product labelling of above-mentioned travelling products may include travelling products self attributes mark in one of the embodiments,
Label (admire the beauty of flowers, seabeach etc.), group, trip attribute tags (price, mode of going on a tour etc.) and visitor's feedback label (parent-offspring, elder etc.) out.
The Product labelling of travelling products in the present embodiment can be obtained according to the data of travelling products website, be not required to
Will be by means of other data source systems, data acquisition is quick and convenient.
It should be understood that although each step in the flow chart of Fig. 2-6 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-6
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in fig. 7, providing a kind of travelling products recommendation apparatus, comprising: identification module
702, class discrimination module 704, showing interface module 706 and Products Show module 708, in which:
Identification module 702, for obtaining target user in the logon information of travelling products website, according to logon information
Obtain the identification information of target user；
Class discrimination module 704, for determining target user in the user of travelling products website according to identification information
Classification；
Showing interface module 706 is surveyed for showing preset assessment interface when target user is first kind user
It comments and includes at least multiple assessment topics in interface；
Products Show module 708 is determined for obtaining target user to the answer data of assessment topic according to data are replied
First object recommendation list recommends travelling products to target user according to first object recommendation list.
Above-mentioned travelling products recommendation apparatus in one of the embodiments, further includes that list obtains module and product mark
Label collection determining module, in which: list obtains module and is used to obtain the trip of target user when target user is Second Type user
Swim products browse list and travelling products search listing；Product labelling collection determining module is used for according in travelling products browsing list
Travelling products Product labelling, determine the corresponding Product labelling set of travelling products browsing list；Products Show module 708 is also
For determining the first recommendation list according to travelling products browsing list, determine that the second recommendation arranges according to travelling products search listing
Table determines third recommendation list according to travelling products browsing list and Product labelling set, is pushed away according to the first recommendation list, second
It recommends list and third recommendation list determines the second target recommendation list, trip is recommended to target user according to the second target recommendation list
Swim product.
Products Show module 708 is also used to obtain the travelling products sales volume of current slot in one of the embodiments,
Information determines substitute recommendation list according to travelling products sales volume information, according to the first recommendation list, the second recommendation list, third
Recommendation list and substitute recommendation list determine the second target recommendation list.
Products Show module 708 can be according to travelling products in one of the embodiments,
Browsing list determines the similarity in travelling products browsing list between each travelling products, obtains the similarity of each travelling products
List carries out identical entry merging, similarity superposition to each similarity list, obtains the similarity superposition value of each travelling products, root
The travelling products that the first quantity is chosen according to each similarity superposition value, obtain the first recommendation list.
Products Show module 708 can be according to preset power in one of the embodiments,
Rule is reconfigured, is that the Product labelling of the travelling products in travelling products browsing list configures weighted value, travelling products is browsed
The weighted value that the Product labelling of travelling products in list is configured carries out summation process respectively, obtains the product of each Product labelling
Label weighted value chooses the Product labelling of the second quantity according to the Product labelling weighted value of each Product labelling, obtains target user
User draw a portrait tally set, drawn a portrait the travelling products of the first nearest quantity of tally set screening distance objective user according to user,
Obtain third recommendation list.
Products Show module 708 can be according to preset mistake in one of the embodiments,
Filter condition is respectively filtered the travelling products in the first recommendation list, the second recommendation list, third recommendation list, according to mistake
Filter treated the first recommendation list, the second recommendation list, third recommendation list, determines initial recommendation list, if initial recommendation
The quantity of list is less than preset amount threshold, then chooses travelling products from substitute recommendation list and add to initial recommendation list,
It is reordered according to preset disaggregated model to the travelling products in initial recommendation list, is produced according to the tourism reordered
The travelling products of the first quantity are chosen in product list, obtain the second target recommendation list.
In one of the embodiments, the Product labelling of above-mentioned travelling products include travelling products self attributes label,
Trip group's attribute tags and out visitor feed back label.
Specific about travelling products recommendation apparatus limits the limit that may refer to above for travelling products recommended method
Fixed, details are not described herein.Modules in above-mentioned travelling products recommendation apparatus can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing products browse record information and Product labelling information.The network interface of the computer equipment is used
It is communicated in passing through network connection with external terminal.To realize that a kind of travelling products push away when the computer program is executed by processor
Recommend method.
It will be understood by those skilled in the art that structure shown in Fig. 8, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Target user is obtained in the logon information of travelling products website, the identity mark of target user is obtained according to logon information
Know information；
Determine target user in the class of subscriber of travelling products website according to identification information；
When target user is first kind user, preset assessment interface is shown, include at least in interface of testing and assessing multiple
Assessment topic；
Target user is obtained to the answer data of assessment topic, determines first object recommendation list, root according to data are replied
Recommend travelling products to target user according to first object recommendation list.
In one embodiment, it is also performed the steps of when processor executes computer program
When target user is Second Type user, the travelling products browsing list and travelling products for obtaining target user are searched
Suo Liebiao；
According to the Product labelling of the travelling products in travelling products browsing list, determine that travelling products browsing list is corresponding
Product labelling set；
The first recommendation list is determined according to travelling products browsing list, and the second recommendation is determined according to travelling products search listing
List determines third recommendation list according to travelling products browsing list and Product labelling set；
The second target recommendation list is determined according to the first recommendation list, the second recommendation list and third recommendation list, according to
Second target recommendation list recommends travelling products to target user.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains current slot
Travelling products sales volume information determines substitute recommendation list according to travelling products sales volume information；When processor executes computer program
Realize the above-mentioned step that the second target recommendation list is determined according to the first recommendation list, the second recommendation list and third recommendation list
When rapid, following steps are implemented: being recommended according to the first recommendation list, the second recommendation list, third recommendation list and substitute
List determines the second target recommendation list.
Realize that above-mentioned browse according to travelling products arranges when processor executes computer program in one of the embodiments,
When table determines the step of the first recommendation list, following steps are implemented:
According to travelling products browsing list, determines the similarity in travelling products browsing list between each travelling products, obtain
To the similarity list of each travelling products；
Identical entry merging, similarity superposition are carried out to each similarity list, obtain the similarity superposition value of each travelling products；
The travelling products that the first quantity is chosen according to each similarity superposition value, obtain the first recommendation list.
Realize that above-mentioned browse according to travelling products arranges when processor executes computer program in one of the embodiments,
When table and Product labelling set determine the step of third recommendation list, following steps are implemented:
It is that the Product labelling of the travelling products in travelling products browsing list configures power according to preset weight configuration rule
Weight values；
The weighted value configured to the Product labelling of the travelling products in travelling products browsing list carries out at summation respectively
Reason, obtains the Product labelling weighted value of each Product labelling；
The Product labelling that the second quantity is chosen according to the Product labelling weighted value of each Product labelling, obtains the use of target user
Family portrait tally set；
According to the travelling products of the first nearest quantity of user portrait tally set screening distance objective user, obtains third and push away
Recommend list.
In one of the embodiments, processor execute computer program when realize it is above-mentioned according to the first recommendation list,
It is specific real when second recommendation list, third recommendation list and substitute recommendation list determine the step of the second target recommendation list
Existing following steps:
According to preset filter condition respectively to the trip in the first recommendation list, the second recommendation list, third recommendation list
Trip product is filtered；
According to the first recommendation list, the second recommendation list, the third recommendation list after filtration treatment, determine that initial recommendation arranges
Table；
If the quantity of initial recommendation list is less than preset amount threshold, travelling products are chosen from substitute recommendation list and are mended
It is charged to initial recommendation list；
It is reordered according to preset disaggregated model to the travelling products in initial recommendation list, according to reordering to obtain
Travelling products list choose the first quantity travelling products, obtain the second target recommendation list.
In one of the embodiments, the Product labelling of above-mentioned travelling products include travelling products self attributes label,
Trip group's attribute tags and out visitor feed back label.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Target user is obtained in the logon information of travelling products website, the identity mark of target user is obtained according to logon information
Know information；
Determine target user in the class of subscriber of travelling products website according to identification information；
When target user is first kind user, preset assessment interface is shown, include at least in interface of testing and assessing multiple
Assessment topic；
Target user is obtained to the answer data of assessment topic, determines first object recommendation list, root according to data are replied
Recommend travelling products to target user according to first object recommendation list.
In one embodiment, it is also performed the steps of when computer program is executed by processor
When target user is Second Type user, the travelling products browsing list and travelling products for obtaining target user are searched
Suo Liebiao；
According to the Product labelling of the travelling products in travelling products browsing list, determine that travelling products browsing list is corresponding
Product labelling set；
The first recommendation list is determined according to travelling products browsing list, and the second recommendation is determined according to travelling products search listing
List determines third recommendation list according to travelling products browsing list and Product labelling set；
The second target recommendation list is determined according to the first recommendation list, the second recommendation list and third recommendation list, according to
Second target recommendation list recommends travelling products to target user.
In one embodiment, acquisition current slot is also performed the steps of when computer program is executed by processor
Travelling products sales volume information, according to travelling products sales volume information determine substitute recommendation list；Computer program is held by processor
It is realized when row and above-mentioned second target recommendation list is determined according to the first recommendation list, the second recommendation list and third recommendation list
Step when, implement following steps: according to the first recommendation list, the second recommendation list, third recommendation list and substitute
Recommendation list determines the second target recommendation list.
It realizes and above-mentioned is browsed according to travelling products when computer program is executed by processor in one of the embodiments,
When list determines the step of the first recommendation list, following steps are implemented:
According to travelling products browsing list, determines the similarity in travelling products browsing list between each travelling products, obtain
To the similarity list of each travelling products；
Identical entry merging, similarity superposition are carried out to each similarity list, obtain the similarity superposition value of each travelling products；
The travelling products that the first quantity is chosen according to each similarity superposition value, obtain the first recommendation list.
It realizes and above-mentioned is browsed according to travelling products when computer program is executed by processor in one of the embodiments,
When list and Product labelling set determine the step of third recommendation list, following steps are implemented:
It is that the Product labelling of the travelling products in travelling products browsing list configures power according to preset weight configuration rule
Weight values；
The weighted value configured to the Product labelling of the travelling products in travelling products browsing list carries out at summation respectively
Reason, obtains the Product labelling weighted value of each Product labelling；
The Product labelling that the second quantity is chosen according to the Product labelling weighted value of each Product labelling, obtains the use of target user
Family portrait tally set；
According to the travelling products of the first nearest quantity of user portrait tally set screening distance objective user, obtains third and push away
Recommend list.
It is realized when computer program is executed by processor in one of the embodiments, above-mentioned according to the first recommendation column
When table, the second recommendation list, third recommendation list and substitute recommendation list determine the step of the second target recommendation list, specifically
It performs the steps of
According to preset filter condition respectively to the trip in the first recommendation list, the second recommendation list, third recommendation list
Trip product is filtered；
According to the first recommendation list, the second recommendation list, the third recommendation list after filtration treatment, determine that initial recommendation arranges
Table；
If the quantity of initial recommendation list is less than preset amount threshold, travelling products are chosen from substitute recommendation list and are mended
It is charged to initial recommendation list；
It is reordered according to preset disaggregated model to the travelling products in initial recommendation list, according to reordering to obtain
Travelling products list choose the first quantity travelling products, obtain the second target recommendation list.
In one of the embodiments, the Product labelling of above-mentioned travelling products include travelling products self attributes label,
Trip group's attribute tags and out visitor feed back label.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of travelling products recommended method, which is characterized in that the described method includes:
Target user is obtained in the logon information of travelling products website, the body of the target user is obtained according to the logon information
Part identification information；
Determine the target user in the class of subscriber of the travelling products website according to the identification information；
When the target user is first kind user, shows preset assessment interface, included at least in the assessment interface
Multiple assessment topics；
The target user is obtained to the answer data of the assessment topic, determines that first object is recommended according to the answer data
List recommends travelling products to the target user according to the first object recommendation list.
2. travelling products recommended method according to claim 1, which is characterized in that the method also includes:
When the target user is Second Type user, the travelling products browsing list and tourism for obtaining the target user are produced
Product search listing；
According to the Product labelling of the travelling products in the travelling products browsing list, the travelling products browsing list pair is determined
The Product labelling set answered；
The first recommendation list is determined according to the travelling products browsing list, determines second according to the travelling products search listing
Recommendation list determines third recommendation list according to the travelling products browsing list and the Product labelling set；
Determine that the second target recommends column according to first recommendation list, second recommendation list and the third recommendation list
Table recommends travelling products to the target user according to the second target recommendation list.
3. travelling products recommended method according to claim 2, which is characterized in that the method also includes: it obtains current
The travelling products sales volume information of period determines substitute recommendation list according to the travelling products sales volume information；
It is described to determine that the second target pushes away according to first recommendation list, second recommendation list and the third recommendation list
Recommend list, comprising: according to first recommendation list, second recommendation list, the third recommendation list and described replace
It mends recommendation list and determines the second target recommendation list.
4. travelling products recommended method according to claim 2 or 3, which is characterized in that described according to the travelling products
Browsing list determines the first recommendation list, comprising:
According to the travelling products browsing list, determine similar between each travelling products in the travelling products browsing list
Degree, obtains the similarity list of each travelling products；
Identical entry merging, similarity superposition are carried out to each similarity list, the similarity for obtaining each travelling products is folded
It is value added；
The travelling products that the first quantity is chosen according to each similarity superposition value, obtain first recommendation list.
5. the travelling products recommended method according to weighing and require 2 or 3, which is characterized in that described clear according to the travelling products
It lookes at list and the Product labelling set determines third recommendation list, comprising:
It is that the Product labelling of the travelling products in the travelling products browsing list configures power according to preset weight configuration rule
Weight values；
The weighted value configured to the Product labelling of the travelling products in the travelling products browsing list carries out at summation respectively
Reason, obtains the Product labelling weighted value of each Product labelling；
The Product labelling that the second quantity is chosen according to the Product labelling weighted value of each Product labelling, obtains the target user
User draw a portrait tally set；
According to the travelling products of user portrait tally set screening first quantity nearest apart from the target user, institute is obtained
State third recommendation list.
6. the travelling products recommended method according to claim 3, which is characterized in that described according to described the
One recommendation list, second recommendation list, the third recommendation list and the substitute recommendation list determine described second
Target recommendation list, including
Column are recommended to first recommendation list, second recommendation list, the third respectively according to preset filter condition
Travelling products in table are filtered；
According to first recommendation list, second recommendation list, the third recommendation list after filtration treatment, determine just
Beginning recommendation list；
If the quantity of the initial recommendation list is less than preset amount threshold, tourism is chosen from the substitute recommendation list and is produced
Product add to the initial recommendation list；
It is reordered according to preset disaggregated model to the travelling products in the initial recommendation list, is reordered according to described
The travelling products of the first quantity are chosen in obtained travelling products list, obtain the second target recommendation list.
7. according to the method in claim 2 or 3, which is characterized in that the Product labelling of travelling products include travelling products from
Body attribute tags, trip roll into a ball attribute tags and visitor feeds back label out.
8. a kind of travelling products recommendation apparatus, which is characterized in that described device includes:
Identification module is obtained for obtaining target user in the logon information of travelling products website according to the logon information
Take the identification information of the target user；
Class discrimination module, for determining the target user in the travelling products website according to the identification information
Class of subscriber；
Showing interface module, for showing preset assessment interface, the survey when the target user is first kind user
It comments and includes at least multiple assessment topics in interface；
Products Show module, for obtaining the target user to the answer data of the assessment topic, according to the answer number
According to first object recommendation list is determined, travelling products are recommended to the target user according to the first object recommendation list.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any one of claims 1 to 7 institute when executing the computer program
The step of stating method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110400180A (en) * | 2019-07-29 | 2019-11-01 | 腾讯科技（深圳）有限公司 | Display methods, device and storage medium based on recommendation information |
| CN111191129A (en) * | 2019-12-27 | 2020-05-22 | 广东德诚科教有限公司 | Professional recommendation method and device, computer equipment and storage medium |
| CN111523035A (en) * | 2020-04-24 | 2020-08-11 | 上海异势信息科技有限公司 | Recommendation method, device, server and medium for APP browsing content |
| CN113836404A (en) * | 2021-09-09 | 2021-12-24 | 武汉卓尔数字传媒科技有限公司 | Object recommendation method and device, electronic equipment and computer-readable storage medium |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968802A (en) * | 2010-09-30 | 2011-02-09 | 百度在线网络技术（北京）有限公司 | Method and equipment for recommending content of Internet based on user browse behavior |
| CN103678647A (en) * | 2013-12-20 | 2014-03-26 | Tcl集团股份有限公司 | Method and system for recommending information |
| CN103714084A (en) * | 2012-10-08 | 2014-04-09 | 腾讯科技（深圳）有限公司 | Method and device for recommending information |
| CN103810030A (en) * | 2014-02-20 | 2014-05-21 | 北京奇虎科技有限公司 | Application recommendation method, device and system based on mobile terminal application market |
| CN103942712A (en) * | 2014-05-09 | 2014-07-23 | 北京联时空网络通信设备有限公司 | Product similarity based e-commerce recommendation system and method thereof |
| CN104915845A (en) * | 2015-06-18 | 2015-09-16 | 北京京东尚科信息技术有限公司 | Commodity information display method and device for window |
| US20150286960A1 (en) * | 2014-04-07 | 2015-10-08 | Amadeus S.A.S. | Media input reservation system |
| CN105809475A (en) * | 2016-02-29 | 2016-07-27 | 南京大学 | Commodity recommendation method compatible with O2O applications in internet plus tourism environment |
| CN107391687A (en) * | 2017-07-24 | 2017-11-24 | 华中师范大学 | A kind of mixing commending system towards local chronicle website |
| CN107507041A (en) * | 2017-09-08 | 2017-12-22 | 北京京东尚科信息技术有限公司 | The construction method and construction device of user model |
| CN107527303A (en) * | 2017-07-20 | 2017-12-29 | 中国农业大学 | A kind of rural tourism visualized recommendation method and system |
| CN108256067A (en) * | 2018-01-16 | 2018-07-06 | 平安好房（上海）电子商务有限公司 | Calculate method, apparatus, equipment and the storage medium of source of houses similarity |
| CN108876548A (en) * | 2018-06-25 | 2018-11-23 | 北京金山云网络技术有限公司 | A kind of cloud Products Show method and device |
| CN109033263A (en) * | 2018-07-09 | 2018-12-18 | 努比亚技术有限公司 | A kind of application recommended method and terminal |
-
2018
- 2018-12-19 CN CN201811566980.6A patent/CN109685614A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968802A (en) * | 2010-09-30 | 2011-02-09 | 百度在线网络技术（北京）有限公司 | Method and equipment for recommending content of Internet based on user browse behavior |
| CN103714084A (en) * | 2012-10-08 | 2014-04-09 | 腾讯科技（深圳）有限公司 | Method and device for recommending information |
| CN103678647A (en) * | 2013-12-20 | 2014-03-26 | Tcl集团股份有限公司 | Method and system for recommending information |
| CN103810030A (en) * | 2014-02-20 | 2014-05-21 | 北京奇虎科技有限公司 | Application recommendation method, device and system based on mobile terminal application market |
| US20150286960A1 (en) * | 2014-04-07 | 2015-10-08 | Amadeus S.A.S. | Media input reservation system |
| CN103942712A (en) * | 2014-05-09 | 2014-07-23 | 北京联时空网络通信设备有限公司 | Product similarity based e-commerce recommendation system and method thereof |
| CN104915845A (en) * | 2015-06-18 | 2015-09-16 | 北京京东尚科信息技术有限公司 | Commodity information display method and device for window |
| CN105809475A (en) * | 2016-02-29 | 2016-07-27 | 南京大学 | Commodity recommendation method compatible with O2O applications in internet plus tourism environment |
| CN107527303A (en) * | 2017-07-20 | 2017-12-29 | 中国农业大学 | A kind of rural tourism visualized recommendation method and system |
| CN107391687A (en) * | 2017-07-24 | 2017-11-24 | 华中师范大学 | A kind of mixing commending system towards local chronicle website |
| CN107507041A (en) * | 2017-09-08 | 2017-12-22 | 北京京东尚科信息技术有限公司 | The construction method and construction device of user model |
| CN108256067A (en) * | 2018-01-16 | 2018-07-06 | 平安好房（上海）电子商务有限公司 | Calculate method, apparatus, equipment and the storage medium of source of houses similarity |
| CN108876548A (en) * | 2018-06-25 | 2018-11-23 | 北京金山云网络技术有限公司 | A kind of cloud Products Show method and device |
| CN109033263A (en) * | 2018-07-09 | 2018-12-18 | 努比亚技术有限公司 | A kind of application recommended method and terminal |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110400180A (en) * | 2019-07-29 | 2019-11-01 | 腾讯科技（深圳）有限公司 | Display methods, device and storage medium based on recommendation information |
| CN110400180B (en) * | 2019-07-29 | 2023-11-07 | 腾讯科技（深圳）有限公司 | Recommendation information-based display method and device and storage medium |
| CN111191129A (en) * | 2019-12-27 | 2020-05-22 | 广东德诚科教有限公司 | Professional recommendation method and device, computer equipment and storage medium |
| CN111523035A (en) * | 2020-04-24 | 2020-08-11 | 上海异势信息科技有限公司 | Recommendation method, device, server and medium for APP browsing content |
| CN111523035B (en) * | 2020-04-24 | 2023-04-18 | 上海异势信息科技有限公司 | Recommendation method, device, server and medium for APP browsing content |
| CN113836404A (en) * | 2021-09-09 | 2021-12-24 | 武汉卓尔数字传媒科技有限公司 | Object recommendation method and device, electronic equipment and computer-readable storage medium |
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