CN107730313A - Recommend method and device in shop based on rationale for the recommendation - Google Patents
Recommend method and device in shop based on rationale for the recommendation Download PDFInfo
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Abstract
The invention discloses a kind of shop based on rationale for the recommendation to recommend method and device.Wherein method includes：Receive the shop recommendation request for carrying user's mark that client is sent；Shop list information to be presented is obtained according to shop recommendation request；User interest label information corresponding to obtaining at least one user interest dimension is identified according to user；For each shop to be presented, according to user interest label information corresponding at least one user interest dimension, at least one rationale for the recommendation to match with each user interest dimension is searched；For each shop to be presented, one rationale for the recommendation of selection combines with shop list information to be presented from least one rationale for the recommendation is pushed to client, so that rationale for the recommendation and store information are showed user by client, it can realize for different user, recommend the rationale for the recommendation in shop different to user, the push rationale for the recommendation of personalization is realized, rationale for the recommendation is various abundant, and combines user interest and ensure that the service for providing otherness.
Description
Technical field
The present invention relates to technical field of information processing, and in particular to recommends method and dress in a kind of shop based on rationale for the recommendation
Put.
Background technology
With the development of informationized society, people increasingly get used to searching or select to consume shop using being network,
Some rationale for the recommendation can typically be showed to user together with shop, but in the prior art, usually by the specialty in shop
As rationale for the recommendation, for example, " the delisted dish in this family shop is the Fish with Chinese Sauerkraut ", or using the movable and preferential volume information in shop as recommendation
Reason, or human-edited some fix rationale for the recommendation with displaying when use.
This rationale for the recommendation, to a certain extent, the selection to user provide some reference propositions, and Consumer's Experience is entered
Go certain lifting, but shortcoming is, and reason is stereotyped, lacks change, easily causes user's aestheticly tired, and largely
Rationale for the recommendation is not necessarily the point of interest of user, for example, some users are only concerned taste, rationale for the recommendation, which is said, " nearby to stop in shop
It is convenient ", this is just completely nonsensical, and is directed to different users, and given rationale for the recommendation is also identical, can not realize and push away
Recommend the otherness of reason.
The content of the invention
In view of the above problems, it is proposed that the present invention so as to provide one kind overcome above mentioned problem or at least in part solve on
Recommend method and accordingly the shop recommendation apparatus based on rationale for the recommendation in the shop based on rationale for the recommendation for stating problem.
According to an aspect of the present invention, there is provided method is recommended in a kind of shop based on rationale for the recommendation, and it includes：
Receive the shop recommendation request for carrying user's mark that client is sent；
Shop list information to be presented is obtained according to the shop recommendation request；
User interest label information corresponding to obtaining at least one user interest dimension is identified according to the user；
For each shop to be presented, according to user interest label information corresponding at least one user interest dimension,
Search at least one rationale for the recommendation to match with each user interest dimension；
For each shop to be presented, a rationale for the recommendation and shop list to be presented are chosen from least one rationale for the recommendation
Information combination is pushed to client, so that rationale for the recommendation and store information are showed user by the client.
Alternatively, for each shop to be presented, one rationale for the recommendation of selection is opened up with waiting from least one rationale for the recommendation
Show that shop list information combination is pushed to client and further comprised：
For each shop to be presented, at least one rationale for the recommendation is arranged according to user interest dimension priority
Sequence；
Rationale for the recommendation is chosen from least one rationale for the recommendation according to the ranking results of rationale for the recommendation, by selected recommendation
Reason combines with shop list information to be presented and is pushed to client.
Alternatively, before selected rationale for the recommendation is combined with shop list information to be presented is pushed to client,
Methods described also includes：
Shop to be presented is ranked up according to user interest dimension priority corresponding to selected rationale for the recommendation；
Described combine selected rationale for the recommendation with shop list information to be presented is pushed to client and further comprised：
Selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client.
Alternatively, it is described to be directed to each shop to be presented, a rationale for the recommendation is chosen from least one rationale for the recommendation with treating
Displaying shop list information combination is pushed to client and further comprised：
Weight corresponding to each user interest dimension is determined according to user interest dimension priority；
A rationale for the recommendation is randomly selected from least one rationale for the recommendation according to probability corresponding to the weight；
Selected rationale for the recommendation is combined with shop list information to be presented and is pushed to client.
Alternatively, at least one user interest dimension includes：User's history behavior dimension, user interest classification dimension
Degree, user's tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, and/or scene tag dimension；
The shop list information to be presented includes：Store identification, positional information.
Alternatively, the user's history behavior dimension includes：The user's history browses dimension, the user's history recently
Most often browsing dimension, the user's history, most often consumption dimension, the user's history consume dimension recently；
The user's history browses that dimension, the user's history most often browse dimension, the user's history most often disappears recently
The priority that expense dimension, the user's history consume dimension recently reduces successively, and preferential higher than other users interest dimension
Level.
Alternatively, methods described also includes：If find at least one recommendation to match with user's history behavior dimension
Reason, by the corresponding shop to be presented of at least one rationale for the recommendation to match with user's history behavior dimension described to be presented
Top set is carried out in the list of shop.
Alternatively, methods described also includes：According to the shop acquisition request shop feature tag information；
For each shop to be presented, according to user interest label information corresponding at least one user interest dimension,
At least one rationale for the recommendation to match with each user interest dimension is searched to further comprise：
For each shop to be presented, according to user interest label information corresponding at least one user interest dimension,
Shop feature tag information is searched to determine at least one rationale for the recommendation to match with each user interest dimension.
Alternatively, the shop feature tag information includes：Vegetable recommends language, taste to recommend language, service recommendation language.
Alternatively, the shop recommendation request for carrying user's mark for receiving client transmission further comprises：
Client is received by triggering the shop for carrying user and identifying for presetting trigger button corresponding to scene to send
Recommendation request.
Alternatively, it is described to be further comprised according to shop recommendation request acquisition shop list information to be presented：
Positional information in the shop recommendation request obtains shop list information to be presented.
According to another aspect of the present invention, there is provided a kind of shop recommendation apparatus based on rationale for the recommendation, it includes：
Receiving module, the shop recommendation request for carrying user's mark sent suitable for receiving client；
First acquisition module, suitable for obtaining shop list information to be presented according to the shop recommendation request；
Second acquisition module, it is emerging suitable for the user according to corresponding to user mark acquisition at least one user interest dimension
Interesting label information；
Searching modul, suitable for for each shop to be presented, according to user corresponding at least one user interest dimension
Interest tags information, search at least one rationale for the recommendation to match with each user interest dimension；
Pushing module, suitable for for each shop to be presented, chosen from least one rationale for the recommendation a rationale for the recommendation with
List information combination in shop to be presented is pushed to client, so that rationale for the recommendation and store information are showed use by the client
Family.
Alternatively, the pushing module further comprises：
Rationale for the recommendation sequencing unit, suitable for for each shop to be presented, according to user interest dimension priority to it is described extremely
A few rationale for the recommendation is ranked up；
Push unit, rationale for the recommendation is chosen from least one rationale for the recommendation suitable for the ranking results according to rationale for the recommendation,
Selected rationale for the recommendation is combined with shop list information to be presented and is pushed to client.
Alternatively, the push unit is further adapted for：According to user interest dimension corresponding to selected rationale for the recommendation
Priority is ranked up to shop to be presented；
Selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client.
Alternatively, the pushing module further comprises：
Weight determining unit, suitable for determining weight corresponding to each user interest dimension according to user interest dimension priority；
Unit is chosen, is pushed away suitable for randomly selecting one from least one rationale for the recommendation according to probability corresponding to the weight
Recommend reason；
Push unit, client is pushed to suitable for selected rationale for the recommendation is combined with shop list information to be presented.
Alternatively, at least one user interest dimension includes：User's history behavior dimension, user interest classification dimension
Degree, user's tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, and/or scene tag dimension；
The shop list information to be presented includes：Store identification, positional information.
Alternatively, the user's history behavior dimension includes：The user's history browses dimension, the user's history recently
Most often browsing dimension, the user's history, most often consumption dimension, the user's history consume dimension recently；
The user's history browses that dimension, the user's history most often browse dimension, the user's history most often disappears recently
The priority that expense dimension, the user's history consume dimension recently reduces successively, and preferential higher than other users interest dimension
Level.
Alternatively, described device also includes：Top set module, if suitable for finding what is matched with user's history behavior dimension
At least one rationale for the recommendation, by the corresponding shop to be presented of at least one rationale for the recommendation to match with user's history behavior dimension
Top set is carried out in the shop list to be presented.
Alternatively, first acquisition module is further adapted for：Believed according to the shop acquisition request shop feature tag
Breath；
The searching modul is further adapted for：For each shop to be presented, according at least one user interest dimension
Corresponding user interest label information, search shop feature tag information with determine with each user interest dimension match to
A few rationale for the recommendation.
Alternatively, the shop feature tag information includes：Vegetable recommends language, taste to recommend language, service recommendation language.
Alternatively, the receiving module is further adapted for：Client is received to press by triggering to trigger corresponding to default scene
Button and send carry user mark shop recommendation request.
Alternatively, first acquisition module is further adapted for：Positional information in the shop recommendation request obtains
Take shop list information to be presented.
According to another aspect of the invention, there is provided a kind of computing device, including：Processor, memory, communication interface and
Communication bus, the processor, the memory and the communication interface complete mutual communication by the communication bus；
The memory is used to deposit an at least executable instruction, and the executable instruction makes the computing device above-mentioned
Operation corresponding to shop recommendation method based on rationale for the recommendation.
In accordance with a further aspect of the present invention, there is provided a kind of computer-readable storage medium, be stored with the storage medium to
A few executable instruction, the executable instruction makes computing device, and the shop based on rationale for the recommendation recommends method corresponding as described above
Operation.
According to scheme provided by the invention, the shop recommendation request for carrying user's mark that client is sent, root are received
Shop list information to be presented is obtained according to the shop recommendation request, the user in the recommendation request of shop, which identifies, to be obtained at least
User interest label information corresponding to one user interest dimension, for each shop to be presented, according at least one user
User interest label information corresponding to interest dimension, search at least one recommendation to match with each user interest dimension and manage
By for each shop to be presented, a rationale for the recommendation and shop list information to be presented are chosen from least one rationale for the recommendation
Combination is pushed to client, so that rationale for the recommendation and store information are showed user by the client.Implemented based on the present invention
The scheme of example, can be realized for different user, recommended the rationale for the recommendation in shop different to user, realized the push of personalization
Rationale for the recommendation, rationale for the recommendation is various abundant, and combines user interest and ensure that the service for providing otherness, avoids existing
The rationale for the recommendation pushed in rationale for the recommendation method for pushing excessively single and different user can not be directed to and targetedly carried
For caused by rationale for the recommendation the defects of poor user experience.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, it is various other the advantages of and benefit it is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 shows that the flow signal of method is recommended in the shop according to an embodiment of the invention based on rationale for the recommendation
Figure；
Fig. 2 shows that the flow signal of method is recommended in the shop in accordance with another embodiment of the present invention based on rationale for the recommendation
Figure；
Fig. 3 is shown recommends the flow of method to illustrate according to the shop based on rationale for the recommendation of another embodiment of the invention
Figure；
Fig. 4 shows the structural representation of the shop recommendation apparatus according to an embodiment of the invention based on rationale for the recommendation
Figure；
Fig. 5 shows the structural representation of the shop recommendation apparatus in accordance with another embodiment of the present invention based on rationale for the recommendation
Figure；
Fig. 6 shows the structural representation of the shop recommendation apparatus based on rationale for the recommendation according to another embodiment of the invention
Figure；
Fig. 7 shows a kind of structural representation of computing device according to an embodiment of the invention.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Fig. 1 shows that the flow signal of method is recommended in the shop according to an embodiment of the invention based on rationale for the recommendation
Figure.As shown in figure 1, this method comprises the following steps：
Step S100, receive the shop recommendation request for carrying user's mark that client is sent.
Involved client can include but is not limited to mobile phone, personal digital assistant in the embodiment of the present invention
(Personal Digital Assistant, PDA), tablet personal computer (Tablet Computer), PC (Personal
Computer, PC) etc..
Specifically, user triggers the work(that the shop based on rationale for the recommendation that the application installed in client is provided is recommended
Can, that is, it is considered as client and have sent the shop recommendation request for carrying user's mark, wherein, each user has unique use
Family identifies, and can be made a distinction user according to user's mark, therefore, according to user's mark with can realizing personalization to user
Push rationale for the recommendation corresponding to shop.It is understood that using the local program that can be mounted in client
(nativeApp), or can also be a web page program (webApp) of the browser in client, the present embodiment to this not
It is particularly limited.
Step S101, shop list information to be presented is obtained according to shop recommendation request.
Specifically, after the shop recommendation request of client transmission is received, it can be obtained and treated according to shop recommendation request
Shop list information is shown, wherein, the quantity in shop to be presented can be according to presetting, for example, being pushed away in order that obtaining to user
More fully, user's alternative is higher for the store information sent, and it is higher to set the quantity in shop to be presented, such as 20 or
30, it is merely illustrative of here, without any restriction effect, certainly, the quantity in shop to be presented can also be according to client
The display screen at end is that foundation is set, for example, the type information of client can be carried in the recommendation request of shop, according to type
Number information can determine the size of the display screen of client, so that it is determined that the quantity in shop to be presented, in this way, shop to be presented
Quantity may be lacked relatively, but carry out any other drag operation without user.
Step S102, user interest label information corresponding to obtaining at least one user interest dimension is identified according to user.
User interest dimension has carried out different embodiments in terms of different to the interest of user, from general, for
In different users, user interest dimension is roughly the same, however, for individual, under same user interest dimension, different use
Family, the user interest label information of user interest dimension pair again may be different, and user interest label information directly embodies use
The interest at family, therefore, it is necessary to identified according to user obtain at least one user interest dimension corresponding to user interest label information.
Step S103, for each shop to be presented, according to user interest label corresponding at least one user interest dimension
Information, search at least one rationale for the recommendation to match with each user interest dimension.
After step s 102, it is also necessary to for each shop to be presented, search and tieed up under the shop with each user interest
Spend at least one rationale for the recommendation for matching, in order to avoid rationale for the recommendation unicity problem and different user can not be directed to
And the defects of rationale for the recommendation is targetedly provided, need exist for the user interest according to corresponding at least one user interest dimension
Label information, search at least one rationale for the recommendation to match with each user interest dimension.
Step S104, for each shop to be presented, one rationale for the recommendation of selection is opened up with waiting from least one rationale for the recommendation
Show that shop list information combination is pushed to client, so that rationale for the recommendation and store information are showed user by client.
The rationale for the recommendation that step S103 is obtained may be multiple, but without the whole rationale for the recommendation found are all opened up
Show to user, therefore, for each shop to be presented, a rationale for the recommendation can be chosen from least one rationale for the recommendation and be opened up with waiting
Show that shop list information combination is pushed to client, so that rationale for the recommendation and store information are showed user by client, thus,
Even can realize to different users and recommend identical shop, due to user interest label information corresponding to different user
Difference, so that the rationale for the recommendation found is different, the push rationale for the recommendation of personalization is realized, offer difference is provided
The service of property.
The method provided according to the above embodiment of the present invention, receive the shop for carrying user's mark that client is sent and push away
Request is recommended, shop list information to be presented is obtained according to shop recommendation request, user's mark in the recommendation request of shop obtains
User interest label information corresponding at least one user interest dimension is taken, for each shop to be presented, according at least one use
User interest label information corresponding to the interest dimension of family, search at least one recommendation to match with each user interest dimension and manage
By for each shop to be presented, a rationale for the recommendation and shop list information to be presented are chosen from least one rationale for the recommendation
Combination is pushed to client, so that rationale for the recommendation and store information are showed user by client.Based on the embodiment of the present invention
It scheme, can realize for different user, recommend the rationale for the recommendation in shop different to user, the push for realizing personalization is recommended
Reason, there is provided the service of otherness, avoid the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing it is excessively single,
And the defects of different user can not being directed to and poor user experience caused by rationale for the recommendation be targetedly provided.
Fig. 2 shows that the flow signal of method is recommended in the shop in accordance with another embodiment of the present invention based on rationale for the recommendation
Figure.As shown in Fig. 2 this method comprises the following steps：
Step S200, receive client and marked by the user that carries for triggering trigger button corresponding to default scene to send
The shop recommendation request of knowledge.
Shop provided by the invention based on rationale for the recommendation recommends method to can apply in different scenes, for example, objective
" being customized for you " service, " people's core " service, " search " service that the application installed on the end of family is provided, user are clicked on " for you
Customization ", " people's core " trigger button corresponding to " search ", you can be considered as client have sent carry user identify shop push away
Recommend request.
Step S201, the positional information in the recommendation request of shop obtain shop list information to be presented.
Specifically, the current positional information of user can also be carried in the shop recommendation request that client is sent, according to
The current positional information of user obtains shop list information to be presented, for example, can centered on user current location information point,
Pre-determined distance is radius, such as 1 km, obtains the store information in respective range, and shop list information to be presented includes：Shop
Mark, positional information, wherein, store identification is specifically as follows shop title, and it is current that positional information embodies shop and user
The distance between position.In order that must be to the store information that user pushes more fully, user's alternative is higher, this area skill
Art personnel can set the quantity in shop to be presented as needed, not illustrate here.
Step S202, user interest label information corresponding to obtaining at least one user interest dimension is identified according to user.
Specifically, at least one user interest dimension includes：User's history behavior dimension, user interest classification dimension, use
Family tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, and/or scene tag dimension, wherein, use
Family historical behavior dimension illustrates the behaviors such as user's history is browsed, history is bought；User interest classification dimension illustrates user and gone through
The classification of history preference, it can determine that classification may indicate that the classification in shop according to the consumer behavior of user's history；User interest business
Circle dimension is the explanation for the commercial circle often gone to user；User comment preference dimension embodies user's shop theme letter of interest
Breath；Scene tag dimension embodies crowd that shop is adapted to etc..
User interest dimension has carried out different embodiments in terms of different to the interest of user, from general, for
In different users, user interest dimension is roughly the same, however, for individual, under same user interest dimension, different use
Family, the user interest label information of user interest dimension pair again may be different, and user interest label information directly embodies use
The interest at family.Therefore, it is necessary to identified according to user obtain at least one user interest dimension corresponding to user interest label information,
For user interest classification dimension, the user interest label information of some users is probably chafing dish, and the use of some users
Family interest tags information is probably barbecue；In another example for the dimension of user interest commercial circle, the user interest mark of some users
It is probably Wangfujing commercial circle to sign information, and the user interest label information of some users is probably Xidan commercial circle, not another here
One enumerates explanation.
Step S203, for each shop to be presented, according to user interest label corresponding at least one user interest dimension
Information, search at least one rationale for the recommendation to match with each user interest dimension.
After step S202, it is also necessary to for each shop to be presented, search and tieed up under the shop with each user interest
At least one rationale for the recommendation to match is spent, for some shop to be presented, some user interest dimension pair and may be not present
The user interest label information answered, for example, being directed to for user's history behavior dimension, user may not browse recently
Cross shop or in the shop post-consumer, so just search less than the rationale for the recommendation to match with the user interest dimension, certainly
May also occur some shop to be presented multiple user interest dimensions be present corresponding to user interest label information, can so look for
To multiple rationale for the recommendation.
So that user interest dimension is user interest commercial circle dimension as an example, it can be judged according to the list of user interest commercial circle each
Whether individual shop to be presented belongs in the range of user interest commercial circle, for example, by taking A markets as an example, defines two kilometer ranges in A markets
Interior shop belongs to the commercial circle, and the shop beyond two kilometers is not belonging to commercial circle, if shop B to be presented is in the kilometer range of A markets two
It is interior, it is determined that shop B belongs to commercial circle, searches at least one recommendation to match with user interest commercial circle dimension and manages, recommendation reason
By can be generated by server, for example, rationale for the recommendation template corresponding to the dimension of user interest commercial circle can be provided with, such as
" shops near XX that you often go ", according to template corresponding to the information solicitation of commercial circle, rationale for the recommendation corresponding to generation, for example, pushing away
Reason is recommended to be specifically as follows " shops near Huanglong that you often go ".
The embodiment of the present invention can also get shop feature tag information, shop feature tag according to shop recommendation request
Information can include again：Vegetable recommends language, taste to recommend language, service recommendation language, and these recommendation languages can be other users to shop
The shop build-in attribute information that the evaluation of paving or storekeeper set for shop, for some relatively good recommendation languages
" super cheap, cost-effective " can be evaluated as to shop B directly as corresponding rationale for the recommendation, such as other users C, should
Evaluation can be directly as the rationale for the recommendation to match with user comment preference dimension, it is of course also possible to some recommendation languages be present
Relatively simple situation, for example, " enough peppery ", for this kind of recommendation language, server then needs to be handled accordingly, such as basis
Recommend language and the corresponding corresponding rationale for the recommendation of rationale for the recommendation template generation.Here no longer to searching and each user interest dimension
At least one rationale for the recommendation to match, which is done, specifically to be enumerated, and table 1, which is shown, recommends reason corresponding to different user interest dimension
By sample：
Table 1：
| User interest dimension | Rationale for the recommendation sample |
| User's history behavior dimension | Your just browsed shop |
| User interest classification dimension | Recommended according to your chafing dish preference |
| User's tide mark label preference dimension | Recommend for sweets control |
| User interest commercial circle dimension | Shops near your Chang Qudi Huanglong |
| Scene tag dimension | Aim at the good place to go for lovers' appointment that you select |
| User comment preference dimension | It is super cheap, it is cost-effective |
Step S204, for each shop to be presented, at least one rationale for the recommendation is entered according to user interest dimension priority
Row sequence.
In embodiments of the present invention, the priority that different user interest dimension has is different, for example, user's history behavior is tieed up
Degree, user interest classification dimension, user's tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, scene
The priority of label dimension can reduce successively, be merely illustrative of here, and above-mentioned user interest dimension is corresponding other preferential
Level, wherein, no matter how priority changes, the highest priority of user's history behavior dimension, and user's history behavior dimension bag
Include：User's history browse recently dimension, user's history most often browse dimension, user's history most often consume dimension, user's history most
Nearly consumption dimension；Wherein, user's history browse recently dimension, user's history most often browse dimension, user's history most often consumption dimension
The priority that degree, user's history consume dimension recently reduces successively, and higher than the priority of other users interest dimension.
User interest dimension priority list understands certain order, therefore, can be according to user for each shop to be presented
Interest dimension priority is ranked up to accessed at least one rationale for the recommendation, i.e., the rationale for the recommendation in shop is arranged
Sequence, to facilitate the more suitably rationale for the recommendation of selection one to be pushed to client.
Step S205, rationale for the recommendation is chosen from least one rationale for the recommendation according to the ranking results of rationale for the recommendation.
After being ranked up according to user interest dimension priority at least one rationale for the recommendation, the row of rationale for the recommendation is obtained
Sequence result, then, the ranking results according to rationale for the recommendation choose rationale for the recommendation, such as selection row from least one rationale for the recommendation
Sequence is in primary rationale for the recommendation.
Step S206, shop to be presented is carried out according to user interest dimension priority corresponding to selected rationale for the recommendation
Sequence.
, can be according to institute after the ranking results according to rationale for the recommendation choose rationale for the recommendation from least one rationale for the recommendation
User interest dimension priority is ranked up to shop to be presented corresponding to the rationale for the recommendation of selection, for example, setting user
Historical behavior dimension, user interest classification dimension, user's tide mark label preference dimension, user interest commercial circle dimension, user comment are inclined
Good dimension, the priority of scene tag dimension reduce successively, according to the ranking results of rationale for the recommendation from least one rationale for the recommendation
After middle selection rationale for the recommendation, each shop to be presented it is as shown in table 2 with rationale for the recommendation, user interest dimension：
Table 2
| Store identification | Rationale for the recommendation | User interest dimension |
| Shop A | Your just browsed shop | User's history behavior dimension |
| Shop B | Recommend for sweets control | User's tide mark label preference dimension |
| Shop C | Aim at the good place to go for lovers' appointment that you select | Scene tag dimension |
| Shop D | Shops near your Chang Qudi Huanglong | User interest commercial circle dimension |
| Shop E | Recommended according to your chafing dish preference | User interest classification dimension |
| Shop F | It is super cheap, it is cost-effective | User comment preference dimension |
Shop to be presented is ranked up according to user interest dimension priority corresponding to selected rationale for the recommendation, obtained
Shop after sequence is listed as follows：Shop A, shop E, shop B, shop D, shop F, shop C.
Step S207, selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client
End, so that rationale for the recommendation and store information are showed user by client.
It is being ranked up to shop to be presented according to user interest dimension priority corresponding to selected rationale for the recommendation
Afterwards, selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client, client is by shop
Paving list information shows user with rationale for the recommendation, and user can be corresponding to select using corresponding rationale for the recommendation as reference
Consume shop.
In a kind of optional embodiment of the present invention, it can also be pushed away in the ranking results according to rationale for the recommendation from least one
Recommend after choosing rationale for the recommendation in reason, directly selected rationale for the recommendation is combined with shop list information to be presented and is pushed to visitor
Family end, without being ranked up to shop.
, it is specified that the highest priority of user's history behavior dimension in a kind of optional embodiment of the present invention, if search
To at least one rationale for the recommendation to match with user's history behavior dimension, then user's history behavior dimension pair can be directly chosen
The rationale for the recommendation answered, without being ranked up again to the rationale for the recommendation in the shop to be presented, shop displaying money is being carried out, can incited somebody to action
Shop to be presented corresponding with least one rationale for the recommendation that user's history behavior dimension matches is in shop list to be presented
Top set is carried out, and the sequence of positions in other shops to be presented moves down one.
The method provided according to the above embodiment of the present invention, rationale for the recommendation is pushed with reference to user interest label information, can
Realization is directed to different user, recommends the rationale for the recommendation in shop different to user, realizes the push rationale for the recommendation of personalization, and energy
It is enough to ensure that pushed rationale for the recommendation meets user interest, it is ensured that rationale for the recommendation is various abundant, so as to provide the service of otherness,
Avoid the excessively single of the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing and different user can not be directed to and
Targetedly caused by offer rationale for the recommendation the defects of poor user experience, by according to corresponding to selected rationale for the recommendation
User interest dimension priority is ranked up to shop to be presented, and the shop for more meeting user interest is preferentially shown, is easy to
User selects.
Fig. 3 is shown recommends the flow of method to illustrate according to the shop based on rationale for the recommendation of another embodiment of the invention
Figure.As shown in figure 3, this method comprises the following steps：
Step S300, receive client and marked by the user that carries for triggering trigger button corresponding to default scene to send
The shop recommendation request of knowledge.
Step S301, the positional information in the recommendation request of shop obtain shop list information to be presented.
Step S302, user interest label information corresponding to obtaining at least one user interest dimension is identified according to user.
Step S303, for each shop to be presented, according to user interest label corresponding at least one user interest dimension
Information, search at least one rationale for the recommendation to match with each user interest dimension.
Step S300- steps S303 shown in the embodiment of the present invention and the step S200- steps in embodiment illustrated in fig. 2
S203 is similar, repeats no more here.
Step S304, weight corresponding to each user interest dimension is determined according to user interest dimension priority.
Specifically, the priority of user interest dimension is different, can cause weighted corresponding to each user interest dimension, uses
The priority of family interest dimension is high, it may be determined that weight corresponding to the user interest dimension is high, the priority of user interest dimension
Low, then weight corresponding to the user interest dimension is low, can so determine weight corresponding to each user interest dimension.
Step S305, for each shop to be presented, probability corresponding to foundation weight is random from least one rationale for the recommendation
Choose a rationale for the recommendation.
After weight corresponding to each user interest dimension is determined, it can be pushed away according to probability corresponding to weight from least one
Recommend and a rationale for the recommendation is randomly selected in reason, for example, user's history behavior dimension, user interest classification dimension, user
Tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, the weight of scene tag dimension be respectively 0.4,
0.2nd, 0.1,0.1,0.1,0.1, then chosen from least one rationale for the recommendation to rationale for the recommendation corresponding to the user interest dimension
Probability be respectively 0.4,0.2,0.1,0.1,0.1,0.1, so as to ensure that the diversity of rationale for the recommendation.
Step S306, selected rationale for the recommendation is combined with shop list information to be presented and is pushed to client, for
Rationale for the recommendation and store information are showed user by client.
After a rationale for the recommendation is randomly selected from least one rationale for the recommendation according to probability corresponding to weight, by institute
The rationale for the recommendation of selection combines with shop list information to be presented and is pushed to client, and client is by shop list information with recommending
Reason shows user, and user can be using corresponding rationale for the recommendation as reference, to select to consume shop accordingly.
The method provided according to the above embodiment of the present invention, rationale for the recommendation is pushed with reference to user interest label information, and pushed away
The rationale for the recommendation sent randomly selects, and can realize for different user, recommends the rationale for the recommendation in shop different to user, real
The push rationale for the recommendation of personalization is showed, and can ensure that pushed rationale for the recommendation meets user interest, it is ensured that rationale for the recommendation
It is various abundant, so as to provide the service of otherness, avoid the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing
It is excessively single and different user can not be directed to and lacking for poor user experience caused by rationale for the recommendation be targetedly provided
Fall into.
Fig. 4 shows the structural representation of the shop recommendation apparatus according to an embodiment of the invention based on rationale for the recommendation
Figure.As shown in figure 4, the device includes：Receiving module 400, the first acquisition module 410, the second acquisition module 420, searching modul
430th, pushing module 440.
Receiving module 400, the shop recommendation request for carrying user's mark sent suitable for receiving client.
First acquisition module 410, suitable for obtaining shop list information to be presented according to shop recommendation request.
Wherein, shop list information to be presented includes：Store identification, positional information.
Second acquisition module 420, it is emerging suitable for the user according to corresponding to user's mark acquisition at least one user interest dimension
Interesting label information.
Searching modul 430, it is emerging according to user corresponding at least one user interest dimension suitable for for each shop to be presented
Interesting label information, search at least one rationale for the recommendation to match with each user interest dimension.
Pushing module 440, suitable for for each shop to be presented, a rationale for the recommendation is chosen from least one rationale for the recommendation
Combined with shop list information to be presented and be pushed to client, so that rationale for the recommendation and store information are showed use by client
Family.
Alternatively, at least one user interest dimension includes：User's history behavior dimension, user interest classification dimension, use
Family tide mark label preference dimension, user interest commercial circle dimension, user comment preference dimension, and/or scene tag dimension；User's history
Behavior dimension includes：User's history browse recently dimension, user's history most often browse dimension, user's history most often consume dimension,
User's history consumes dimension recently；User's history browses dimension, user's history and most often browses dimension, user's history recently most often to disappear
The priority that expense dimension, user's history consume dimension recently reduces successively, and higher than the priority of other users interest dimension.
Alternatively, device also includes：Top set module 450, if suitable for finding what is matched with user's history behavior dimension
At least one rationale for the recommendation, by the corresponding shop to be presented of at least one rationale for the recommendation to match with user's history behavior dimension
Top set is carried out in shop list to be presented.
The device provided according to the above embodiment of the present invention, receive the shop for carrying user's mark that client is sent and push away
Request is recommended, shop list information to be presented is obtained according to shop recommendation request, user's mark in the recommendation request of shop obtains
User interest label information corresponding at least one user interest dimension is taken, for each shop to be presented, according at least one use
User interest label information corresponding to the interest dimension of family, search at least one recommendation to match with each user interest dimension and manage
By for each shop to be presented, a rationale for the recommendation and shop list information to be presented are chosen from least one rationale for the recommendation
Combination is pushed to client, so that rationale for the recommendation and store information are showed user by client.Based on the embodiment of the present invention
It scheme, can realize for different user, recommend the rationale for the recommendation in shop different to user, the push for realizing personalization is recommended
Reason, there is provided the service of otherness, avoid the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing it is excessively single,
And the defects of different user can not being directed to and poor user experience caused by rationale for the recommendation be targetedly provided.
Fig. 5 shows the structural representation of the shop recommendation apparatus in accordance with another embodiment of the present invention based on rationale for the recommendation
Figure.As shown in figure 5, the device includes：Receiving module 500, the first acquisition module 510, the second acquisition module 520, searching modul
530th, pushing module 540.
Receiving module 500, suitable for receiving client by triggering the carrying for presetting trigger button corresponding to scene to send
There is the shop recommendation request that user identifies.
First acquisition module 510, list letter in shop to be presented is obtained suitable for the positional information in the recommendation request of shop
Breath.
Second acquisition module 520, it is emerging suitable for the user according to corresponding to user's mark acquisition at least one user interest dimension
Interesting label information.
Searching modul 530, it is emerging according to user corresponding at least one user interest dimension suitable for for each shop to be presented
Interesting label information, search at least one rationale for the recommendation to match with each user interest dimension.
In a kind of optional embodiment of the present invention, first acquisition module is further adapted for：Please according to the shop
Ask and obtain shop feature tag information, wherein, the shop feature tag information includes：Vegetable recommends language, taste to recommend language, clothes
Language is recommended in business.
The searching modul is further adapted for：For each shop to be presented, according at least one user interest dimension
Corresponding user interest label information, search shop feature tag information with determine with each user interest dimension match to
A few rationale for the recommendation.
Pushing module 540 further comprises：Rationale for the recommendation sequencing unit 541, suitable for being used for each shop to be presented, foundation
Family interest dimension priority is ranked up at least one rationale for the recommendation；
Push unit 542, recommendation reason is chosen from least one rationale for the recommendation suitable for the ranking results according to rationale for the recommendation
By selected rationale for the recommendation is combined with shop list information to be presented and is pushed to client, so that client will recommend to manage
By showing user with store information.
Wherein, push unit 542 is further adapted for：It is preferential according to user interest dimension corresponding to selected rationale for the recommendation
Level is ranked up to shop to be presented；
Selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client.
The device provided according to the above embodiment of the present invention, rationale for the recommendation is pushed with reference to user interest label information, can
Realization is directed to different user, recommends the rationale for the recommendation in shop different to user, realizes the push rationale for the recommendation of personalization, and energy
It is enough to ensure that pushed rationale for the recommendation meets user interest, it is ensured that rationale for the recommendation is various abundant, so as to provide the service of otherness,
Avoid the excessively single of the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing and different user can not be directed to and
Targetedly caused by offer rationale for the recommendation the defects of poor user experience, by according to corresponding to selected rationale for the recommendation
User interest dimension priority is ranked up to shop to be presented, and the shop for more meeting user interest is preferentially shown, is easy to
User selects.
Fig. 6 shows the structural representation of the shop recommendation apparatus based on rationale for the recommendation according to another embodiment of the invention
Figure.As shown in fig. 6, the device includes：Receiving module 600, the first acquisition module 610, the second acquisition module 620, searching modul
630th, pushing module 640.
Receiving module 600, suitable for receiving client by triggering the carrying for presetting trigger button corresponding to scene to send
There is the shop recommendation request that user identifies.
First acquisition module 610, list letter in shop to be presented is obtained suitable for the positional information in the recommendation request of shop
Breath.
Second acquisition module 620, it is emerging suitable for the user according to corresponding to user's mark acquisition at least one user interest dimension
Interesting label information.
Searching modul 630, it is emerging according to user corresponding at least one user interest dimension suitable for for each shop to be presented
Interesting label information, search at least one rationale for the recommendation to match with each user interest dimension.
Pushing module 640 further comprises：Weight determining unit 641, suitable for being determined according to user interest dimension priority
Weight corresponding to each user interest dimension；
Unit 642 is chosen, is pushed away suitable for randomly selecting one from least one rationale for the recommendation according to probability corresponding to weight
Recommend reason；
Push unit 643, client is pushed to suitable for selected rationale for the recommendation is combined with shop list information to be presented
End, so that rationale for the recommendation and store information are showed user by client.
The device provided according to the above embodiment of the present invention, rationale for the recommendation is pushed with reference to user interest label information, and pushed away
The rationale for the recommendation sent randomly selects, and can realize for different user, recommends the rationale for the recommendation in shop different to user, real
The push rationale for the recommendation of personalization is showed, and can ensure that pushed rationale for the recommendation meets user interest, it is ensured that rationale for the recommendation
It is various abundant, so as to provide the service of otherness, avoid the rationale for the recommendation that is pushed in existing rationale for the recommendation method for pushing
It is excessively single and different user can not be directed to and lacking for poor user experience caused by rationale for the recommendation be targetedly provided
Fall into.
The embodiment of the present application additionally provides a kind of nonvolatile computer storage media, the computer-readable storage medium storage
Have an at least executable instruction, the computer executable instructions can perform in above-mentioned any means embodiment based on rationale for the recommendation
Shop recommend method.
Fig. 7 shows a kind of structural representation of computing device according to an embodiment of the invention, of the invention specific real
Specific implementation of the example not to computing device is applied to limit.
As shown in fig. 7, the computing device can include：Processor (processor) 702, communication interface
(Communications Interface) 704, memory (memory) 706 and communication bus 708.
Wherein：
Processor 702, communication interface 704 and memory 706 complete mutual communication by communication bus 708.
Communication interface 704, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..
Processor 702, for configuration processor 710, it can specifically perform the above-mentioned shop based on rationale for the recommendation and recommend method
Correlation step in embodiment.
Specifically, program 710 can include program code, and the program code includes computer-managed instruction.
Processor 702 is probably central processor CPU, or specific integrated circuit ASIC (Application
Specific Integrated Circuit), or it is arranged to implement the integrated electricity of one or more of the embodiment of the present invention
Road.The one or more processors that computing device includes, can be same type of processor, such as one or more CPU；Also may be used
To be different types of processor, such as one or more CPU and one or more ASIC.
Memory 706, for depositing program 710.Memory 706 may include high-speed RAM memory, it is also possible to also include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 710 specifically can be used for causing processor 702 to perform the method in Fig. 1-embodiment illustrated in fig. 3.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with teaching based on this.As described above, required by constructing this kind of system
Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that it can utilize various
Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the specification that this place provides, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice in the case of these no details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description to the exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：I.e. required guarantor
The application claims of shield features more more than the feature being expressly recited in each claim.It is more precisely, such as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following embodiment are expressly incorporated in the embodiment, wherein each claim is in itself
Separate embodiments all as the present invention.
Those skilled in the art, which are appreciated that, to be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more equipment different from the embodiment.Can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit exclude each other, it can use any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, summary and accompanying drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
Replace.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
One of meaning mode can use in any combination.
The all parts embodiment of the present invention can be realized with hardware, or to be run on one or more processor
Software module realize, or realized with combinations thereof.It will be understood by those of skill in the art that it can use in practice
Microprocessor or digital signal processor (DSP) realize that the shop according to embodiments of the present invention based on rationale for the recommendation is recommended
The some or all functions of some or all parts in equipment.The present invention is also implemented as being used to perform being retouched here
The some or all equipment or program of device (for example, computer program and computer program product) for the method stated.
Such program for realizing the present invention can store on a computer-readable medium, or can have one or more signal
Form.Such signal can be downloaded from internet website and obtained, either provide on carrier signal or with it is any its
He provides form.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of some different elements and being come by means of properly programmed computer real
It is existing.In if the unit claim of equipment for drying is listed, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
Claims (10)
1. method is recommended in a kind of shop based on rationale for the recommendation, it includes：
Receive the shop recommendation request for carrying user's mark that client is sent；
Shop list information to be presented is obtained according to the shop recommendation request；
User interest label information corresponding to obtaining at least one user interest dimension is identified according to the user；
For each shop to be presented, according to user interest label information corresponding at least one user interest dimension, search
At least one rationale for the recommendation to match with each user interest dimension；
For each shop to be presented, a rationale for the recommendation and shop list information to be presented are chosen from least one rationale for the recommendation
Combination is pushed to client, so that rationale for the recommendation and store information are showed user by the client.
2. according to the method for claim 1, wherein, for each shop to be presented, selected from least one rationale for the recommendation
Take a rationale for the recommendation to combine with shop list information to be presented to be pushed to client and further comprise：
For each shop to be presented, at least one rationale for the recommendation is ranked up according to user interest dimension priority；
Rationale for the recommendation is chosen from least one rationale for the recommendation according to the ranking results of rationale for the recommendation, by selected rationale for the recommendation
Combined with shop list information to be presented and be pushed to client.
3. according to the method for claim 2, wherein, by selected rationale for the recommendation and list information group in shop to be presented
Conjunction is pushed to before client, and methods described also includes：
Shop to be presented is ranked up according to user interest dimension priority corresponding to selected rationale for the recommendation；
Described combine selected rationale for the recommendation with shop list information to be presented is pushed to client and further comprised：
Selected rationale for the recommendation is combined with the shop list information to be presented after sequence and is pushed to client.
4. the method according to claim 11, wherein, it is described to be directed to each shop to be presented, from least one rationale for the recommendation
Choose a rationale for the recommendation and combined with shop list information to be presented and be pushed to client and further comprise：
Weight corresponding to each user interest dimension is determined according to user interest dimension priority；
A rationale for the recommendation is randomly selected from least one rationale for the recommendation according to probability corresponding to the weight；
Selected rationale for the recommendation is combined with shop list information to be presented and is pushed to client.
5. according to the method described in claim any one of 1-4, wherein, at least one user interest dimension includes：User
Historical behavior dimension, user interest classification dimension, user's tide mark label preference dimension, user interest commercial circle dimension, user comment are inclined
Good dimension, and/or scene tag dimension；
The shop list information to be presented includes：Store identification, positional information.
6. according to the method for claim 5, wherein, the user's history behavior dimension includes：The user's history is nearest
Browse dimension, the user's history and most often browse dimension, the user's history and most often consume dimension, the user's history and disappear recently
Take dimension；
The user's history browse recently dimension, the user's history most often browse dimension, the user's history most often consumption dimension
The priority that degree, the user's history consume dimension recently reduces successively, and higher than the priority of other users interest dimension.
7. according to the method for claim 6, wherein, methods described also includes：If find and user's history behavior dimension
At least one rationale for the recommendation to match, treat at least one rationale for the recommendation to match with user's history behavior dimension is corresponding
Displaying shop carries out top set in the shop list to be presented.
8. a kind of shop recommendation apparatus based on rationale for the recommendation, it includes：
Receiving module, the shop recommendation request for carrying user's mark sent suitable for receiving client；
First acquisition module, suitable for obtaining shop list information to be presented according to the shop recommendation request；
Second acquisition module, suitable for the user interest mark according to corresponding to user mark acquisition at least one user interest dimension
Sign information；
Searching modul, suitable for for each shop to be presented, according to user interest corresponding at least one user interest dimension
Label information, search at least one rationale for the recommendation to match with each user interest dimension；
Pushing module, suitable for for each shop to be presented, one rationale for the recommendation of selection is opened up with waiting from least one rationale for the recommendation
Show that shop list information combination is pushed to client, so that rationale for the recommendation and store information are showed user by the client.
9. a kind of computing device, including：Processor, memory, communication interface and communication bus, the processor, the storage
Device and the communication interface complete mutual communication by the communication bus；
The memory is used to deposit an at least executable instruction, and the executable instruction makes the computing device such as right will
Ask operation corresponding to the shop recommendation method based on rationale for the recommendation any one of 1-7.
10. a kind of computer-readable storage medium, an at least executable instruction, the executable instruction are stored with the storage medium
Make operation corresponding to the shop recommendation method based on rationale for the recommendation of the computing device as any one of claim 1-7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011104567.5A CN112150212A (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
| CN201710919510.2A CN107730313B (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710919510.2A CN107730313B (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011104567.5A Division CN112150212A (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
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| Publication Number | Publication Date |
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| CN107730313A true CN107730313A (en) | 2018-02-23 |
| CN107730313B CN107730313B (en) | 2020-11-03 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011104567.5A Pending CN112150212A (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
| CN201710919510.2A Active CN107730313B (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011104567.5A Pending CN112150212A (en) | 2017-09-30 | 2017-09-30 | Shop recommendation method and device based on recommendation reason |
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| CN112150212A (en) | 2020-12-29 |
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