CN112150195A - Target item recommendation method, device, equipment and computer readable medium - Google Patents
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Abstract
The application relates to a recommendation method, a recommendation device, recommendation equipment and a computer readable medium of a target object, wherein the recommendation method comprises the following steps: under the condition that the target object displayed on the application program of the first account is detected to be executed with target operation, displaying an account list associated with the first account; under the condition that the selection operation of a second account in the account list is detected to be executed, matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree; displaying the first matching degree to a first account; and displaying first prompt information to the first account under the condition that the first matching degree is higher than or equal to the threshold value of the matching degree, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account. The recommendation method, device and equipment for the target object and the computer readable medium can improve the matching degree of the attribute information of the target object and the shopping preference image of the second account.
Description
Technical Field
The present application relates to the field of mobile terminal technologies, and in particular, to a method, an apparatus, a device, and a computer-readable medium for recommending a target item.
Background
With the coming of the electricity business era, relatives and friends around the career can give gifts in an online shopping mode.
However, when a gift is purchased on the internet, it is sometimes difficult to determine whether a friend likes the gift, and even if the friend is sent with a good care, the friend is not satisfied. The difficulty of meeting the preference of others is high when selecting the gifts for friends, so that the precision of selecting the gifts is low.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The application provides a method, a device, equipment and a computer readable medium for recommending a target item, so as to solve at least one technical problem in the background art and improve the accuracy of item recommendation.
In a first aspect, the present application provides a recommendation method for a target item, including:
under the condition that the target object displayed on the application program of the first account is detected to be executed with target operation, displaying an account list associated with the first account;
under the condition that the selection operation of a second account in the account list is detected to be executed, matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree;
displaying the first matching degree to the first account;
and displaying first prompt information to the first account when the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
Optionally, after the first matching degree is displayed to the first account, the recommendation method further includes:
under the condition that the first matching degree is lower than the threshold value of the matching degree, acquiring a replacement object of which the second matching degree of the attribute information and the shopping preference picture of the second account is higher than or equal to the threshold value of the matching degree;
and displaying second prompt information and the replacement item to the first account, wherein the second prompt information is used for prompting that the target item does not accord with the shopping preference of the second account and the replacement item accords with the shopping preference of the second account.
Optionally, before matching the attribute information of the target item with the shopping preference portrait of the second account to obtain a first matching degree, the recommendation method further includes:
comparing the feature data of the target object with the feature data corresponding to each of a plurality of classification labels, wherein the classification labels are obtained by classifying shopping preference portrait of a plurality of accounts;
determining a classification label with the characteristic data consistent with the characteristic data of the target article in the plurality of classification labels as the classification label of the target article;
and determining the classification label of the target item as the attribute information of the target item.
Optionally, the matching the attribute information of the target item with the shopping preference portrait of the second account to obtain a first matching degree includes:
acquiring a preference label corresponding to the shopping preference image of the second account;
matching the preference label corresponding to the shopping preference image of the second account with the classification label of the target object to obtain the first matching degree.
Optionally, before comparing the feature data of the target item with the feature data corresponding to each of a plurality of classification tags, the recommendation method further includes:
collecting shopping preference portraits of the multiple accounts;
and classifying the shopping preference portraits of the plurality of accounts to obtain the plurality of classification labels.
In a second aspect, the present application provides a recommendation device for a target item, the recommendation device comprising:
the display module is used for displaying an account list associated with a first account under the condition that the target operation of a target article displayed on an application program of the first account is detected;
the matching module is used for matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree under the condition that the selection operation of the second account in the account list is detected;
the first display module is used for displaying the first matching degree to the first account;
and the second display module displays first prompt information to the first account under the condition that the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
Optionally, the recommendation device further includes:
the acquisition module is used for acquiring a replacement object of which the second matching degree of the attribute information and the shopping preference image of the second account is higher than or equal to the matching degree threshold value under the condition that the first matching degree is lower than the matching degree threshold value after the first matching degree is displayed to the first account;
and the third display module is used for displaying second prompt information and the replacement object to the first account, wherein the second prompt information is used for prompting that the target object does not accord with the shopping preference of the second account and the replacement object accords with the shopping preference of the second account.
Optionally, the recommendation device further includes:
the comparison module is used for comparing the feature data of the target object with the feature data corresponding to each classification label in a plurality of classification labels before matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree, wherein the classification labels are obtained by classifying the shopping preference portraits of the accounts;
a first determining module, configured to determine, as a classification tag of the target item, a classification tag in which feature data in the plurality of classification tags is consistent with feature data of the target item;
and the second determination module is used for determining the classification label of the target article as the attribute information of the target article.
In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and the processor implements the recommendation method of any of the first aspects when executing the computer program.
In a fourth aspect, the present application further provides a computer readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to execute the recommendation method of any one of the first aspect.
Compared with the related art, the technical scheme provided by the embodiment of the application has the following advantages:
this application is through showing account list that first account is correlated with detects under the condition that the selection operation has been carried out to the second account in the account list, will the attribute information of target article with the shopping preference portrait matching of second account has improved the attribute information of target article with the matching degree of the shopping preference portrait of second account helps the user to filter article when selecting article, makes article more accord with the mood of receiver, promotes both sides' joyful sense to promote user experience.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic diagram of a hardware environment for a method for recommending a target item according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a recommendation method for a target item according to an embodiment of the present application;
fig. 3 is a scene schematic diagram of a recommendation method for a target item according to an embodiment of the present application;
fig. 4 is a schematic view of a scenario of setting privacy management of a recommendation method for a target item according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a recommendation device for a target item according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
Alternatively, in this embodiment, the recommendation method for the target item may be applied to a hardware environment formed by the terminal 101 and the server 103 as shown in fig. 1. As shown in fig. 1, the server 103 is connected to the terminal 101 through a network, which may be used to provide services (such as multimedia services, game services, application services, financial services, shopping services, etc.) for the terminal or a client installed on the terminal, and a database may be provided on the server or separately from the server for providing data storage services for the server 103, and the network includes but is not limited to: the terminal 101 is not limited to a PC, a mobile phone, a tablet computer, and the like. The recommendation method for the target item in the embodiment of the application may be executed by the server 103, the terminal 101, or both the server 103 and the terminal 101. The terminal 101 may perform the recommendation method for the target item according to the embodiment of the present application by a client installed thereon.
Fig. 2 is a flowchart of a method for recommending a target item according to an embodiment of the present application, and as shown in fig. 2, the method may include the following steps:
step 202: under the condition that the target object displayed on the application program of the first account is detected to be executed with target operation, displaying an account list associated with the first account;
step 204: under the condition that the selection operation of a second account in the account list is detected to be executed, matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree;
step 206: displaying the first matching degree to the first account;
step 208: and displaying first prompt information to the first account when the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
Through the steps 202 to 208, the second account in the account list associated with the first account is obtained, and the attribute information of the target object displayed on the application program of the first account is matched with the shopping preference portrait of the second account, so that the shopping preference information that the target object accords with the second account is prompted to the first account, the matching degree of the attribute information of the target object and the shopping preference portrait of the second account is improved, a user who owns the first account can be helped to determine whether the target object can meet the shopping preference of the second account when selecting the target object, and the situation that friends who own the second account are not satisfied with the target object is avoided.
Optionally, in this embodiment, after step 206, the recommendation method further includes the following steps:
step 302: under the condition that the first matching degree is lower than the threshold value of the matching degree, acquiring a replacement object of which the second matching degree of the attribute information and the shopping preference picture of the second account is higher than or equal to the threshold value of the matching degree;
step 304: and displaying second prompt information and the replacement item to the first account, wherein the second prompt information is used for prompting that the target item does not accord with the shopping preference of the second account and the replacement item accords with the shopping preference of the second account.
Under the condition that the first matching degree is lower than the threshold value of the matching degree, the replacement articles can be recommended to the first account, so that the condition that the second account is disliked when the first account purchases the target articles is avoided, and the user experience is improved.
Optionally, in step 204, before matching the attribute information of the target item with the shopping preference portrait of the second account to obtain a first matching degree, the recommendation method further includes the following steps:
step 403: comparing the feature data of the target object with the feature data corresponding to each of a plurality of classification labels, wherein the classification labels are obtained by classifying shopping preference portrait of a plurality of accounts;
step 404: determining a classification label with the characteristic data consistent with the characteristic data of the target article in the plurality of classification labels as the classification label of the target article;
step 405: and determining the classification label of the target item as the attribute information of the target item.
By determining the attribute information of the target object, the attribute information of the target object is conveniently matched with the shopping preference portrait of the second account, so that whether the target object meets the shopping preference of the second account or not is judged better.
Optionally, in step 204, matching the attribute information of the target item with the shopping preference portrait of the second account, and obtaining a first matching degree includes:
step 11: acquiring a preference label corresponding to the shopping preference image of the second account;
step 12: matching the preference label corresponding to the shopping preference image of the second account with the classification label of the target object to obtain the first matching degree.
Through the first matching degree, the second account number can determine whether the target object is consistent with the preference portrait of the second account number conveniently, so as to determine whether the target object needs to be selected.
Optionally, before step 403, the recommendation method further includes:
step 401: collecting shopping preference portraits of the multiple accounts;
step 402: and classifying the shopping preference portraits of the plurality of accounts to obtain the plurality of classification labels.
Optionally, in step 404, determining a classification label with the feature data of the plurality of classification labels being consistent with the feature data of the target item as the classification label of the target item includes the following sub-steps:
step 21: extracting a plurality of characteristic data of a target article;
step 22: fusing the plurality of characteristic data of the target object to obtain fused characteristic data;
step 23: comparing the feature data in the plurality of classification tags with the fused feature data, and if the coincidence degree between the fused feature data and the feature data of the ith tag in the plurality of classification tags is greater than a coincidence degree threshold (for example, the coincidence degree threshold may be 75%), determining the ith tag as the classification tag of the target item.
Optionally, the recommending method further includes step 502, after it is detected that the account list associated with the first account is edited, editing the account list, for example, adding or deleting the second account or modifying information of the second account may be performed.
Optionally, the recommendation method further includes:
step 602, after detecting a privacy operation for setting a first account, displaying a shopping preference portrait of the first account;
step 604, after it is detected that the second account in the account list is allowed to perform the operation of matching the second target item with the first account, displaying third prompt information to the first account, where the third prompt information is used to prompt the first account to allow the second account to perform the matching on the first account.
Optionally, the recommendation method further includes:
step 702: displaying a shopping preference portrait of a first account after detecting privacy operation of setting the first account;
step 704: and after the operation of allowing the shopping preference portrait of the first account to be displayed only to the first account is detected, displaying fourth prompt information to the first account, wherein the fourth prompt information is used for prompting the shopping preference portrait of the first account to be displayed only to the first account.
In an optional implementation, fig. 3 is a scene schematic diagram of a method for recommending a target item provided in an embodiment of the present application, and as shown in fig. 3, taking an example that a user a selects a target item 1 in a network mall a, a method for recommending a target item provided in the present implementation is described:
firstly, a user A logs in a network mall A through a first account, selects a target article 1 in the network mall A, clicks an article detail page of the target article 1, and clicks an option of 'help you select a gift';
secondly, popping up an account list on a detail page of the target item 1, wherein the account list comprises a plurality of friends (such as friends 1, friends 2, friends 3 and the like) of the user A, and the user A selects friends needing matching in the account list, such as friends 1;
then, according to the shopping preference portrait of the account (namely, the second account) of the friend 1, matching the attribute information of the target item 1 with the shopping preference portrait of the second account to obtain a first matching degree, wherein the first matching degree is 88% higher than a threshold of the matching degree (for example, 75%), displaying the first matching degree on a matching page, and prompting that the target item 1 conforms to the shopping preference of the friend 1;
if the obtained first matching degree is 40% and is lower than the threshold value of the matching degree (for example, 75%), prompting the user A that the item needs to be picked again, and displaying a replacement item with the matching degree higher than or equal to the threshold value of the matching degree with the shopping preference image of the second account on the matching page, for example, displaying the replacement item (for example, item 2, 3 or 4) on the matching page so as to accord with the shopping preference of friend 1;
and finally, after the user A finishes the matching of the target object 1, the user A can click any blank of the matching page, and then the user A can quit and return to the detail page of the target object 1.
Referring to fig. 4, firstly, a user a logs in a network mall a through a first account, selects a target article 1 in the network mall a, clicks an article detail page of the target article 1, and clicks an option of 'help you select a gift';
secondly, popping up an account list on a detail page of the target item 1, wherein the account list comprises a plurality of friends (such as friends 1, friends 2, friends 3 and the like) of the user A and operation options which can be modified, such as friend adding, editing, privacy setting and the like; after the privacy setting operation is selected, the mobile phone displays the shopping preference portrait of the user A, and an option of allowing friends to match with the articles or allowing the shopping preference portrait to be only visible by the user A can be set.
According to another aspect of the embodiments of the present application, there is further provided a recommendation apparatus for a target item, fig. 5 is a schematic structural diagram of the recommendation apparatus for a target item according to the embodiments of the present application, and as shown in fig. 5, the recommendation apparatus may include:
a display module 80, configured to, in a case that it is detected that a target operation is performed on a target item displayed on an application program of a first account, display an account list associated with the first account;
a matching module 81, configured to, when it is detected that a second account in the account list is selected, match attribute information of the target item with a shopping preference portrait of the second account to obtain a first matching degree;
a first display module 82, configured to display the first matching degree to the first account;
and the second display module 83 displays first prompt information to the first account when the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
The recommendation device of the target object can acquire the second account in the account list associated with the first account, and match the attribute information of the target object displayed on the application program of the first account with the shopping preference portrait of the second account, so that the shopping preference information of the target object according with the second account is prompted to the first account, the matching degree of the attribute information of the target object and the shopping preference portrait of the second account is improved, a user owning the first account can be helped to determine whether the target object can meet the shopping preference of the second account when selecting the target object, and the situation that friends owning the second account are not satisfied with the target object is avoided.
Optionally, the recommendation device further includes:
an obtaining module 84, configured to, after the first matching degree is shown in the first account, obtain a replacement item, where a second matching degree between the attribute information and the shopping preference image of the second account is higher than or equal to the matching degree threshold, if the first matching degree is lower than the matching degree threshold;
a third display module 85, configured to display a second prompt message and the replacement item to the first account, where the second prompt message is used to prompt that the target item does not conform to the shopping preference of the second account and the replacement item conforms to the shopping preference of the second account.
Under the condition that the first matching degree is lower than the threshold value of the matching degree, the third display module 85 can recommend replacement articles to the first account, so that the accuracy of article submission is further improved, and the condition that the first account is disliked when purchasing the target article is avoided, so that the user experience is improved.
Optionally, the recommendation device further includes:
a comparison module 86, configured to compare the feature data of the target object with the feature data corresponding to each of a plurality of classification tags before matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree, where the classification tags are obtained by classifying the shopping preference portraits of the plurality of accounts;
a first determining module 87, configured to determine, as a classification tag of the target item, a classification tag in which feature data of the plurality of classification tags is consistent with feature data of the target item;
and the second determination module 88 determines the classification label of the target item as the attribute information of the target item.
By determining the attribute information of the target object, the attribute information of the target object is conveniently matched with the shopping preference image of the second account, so that the accuracy of the matching degree is improved, and whether the target object accords with the shopping preference of the second account or not is judged better.
Optionally, the matching module 81 is further configured to perform the following operations:
acquiring a preference label corresponding to the shopping preference image of the second account;
matching the preference label corresponding to the shopping preference image of the second account with the classification label of the target object to obtain the first matching degree.
Optionally, the recommendation device further includes:
an acquisition module 89, configured to acquire shopping preference images of the multiple accounts before comparing the feature data of the target item with the feature data corresponding to each of the multiple classification tags;
the classification module 90 classifies the shopping preference portraits of the accounts to obtain the classification labels.
Optionally, the first determining module 87 is configured to perform the following operations:
extracting a plurality of characteristic data of a target article;
fusing the plurality of characteristic data of the target object to obtain fused characteristic data;
comparing the feature data in the plurality of classification tags with the fused feature data, and if the coincidence degree between the fused feature data and the feature data of the ith tag in the plurality of classification tags is greater than a coincidence degree threshold (for example, the coincidence degree threshold may be 75%), determining the ith tag as the classification tag of the target item.
Optionally, the recommending apparatus method further includes a modifying module 91, where the modifying module 91 is configured to add, edit, and the like, the account number of the account number list after detecting that the modifying operation is performed on the account number list associated with the first account number.
Optionally, the recommendation apparatus further includes a first privacy setting module 92, and the second privacy setting module 92 is configured to:
displaying a shopping preference portrait of a first account after detecting privacy operation of setting the first account;
and after the fact that the operation of matching a second target object with the first account is allowed to be performed on the second target object is detected, displaying third prompt information to the first account, wherein the third prompt information is used for prompting the first account to allow the second account to perform matching on the first account.
Optionally, the recommending apparatus further includes a second privacy setting module 93, where the second privacy setting module 93 is configured to perform the following operations:
displaying a shopping preference portrait of a first account after detecting privacy operation of setting the first account;
and after the operation of allowing the shopping preference portrait of the first account to be displayed only to the first account is detected, displaying fourth prompt information to the first account, wherein the fourth prompt information is used for prompting the shopping preference portrait of the first account to be displayed only to the first account.
There is also provided, in accordance with yet another aspect of the embodiments of the present application, a computer device, including a memory and a processor, the memory having stored therein a computer program executable on the processor, the processor implementing the steps when executing the computer program.
The memory and the processor in the computer device communicate with each other through a communication bus and a communication interface. The communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
There is also provided, in accordance with yet another aspect of an embodiment of the present application, a computer-readable medium having non-volatile program code executable by a processor.
Optionally, in an embodiment of the present application, a computer readable medium is configured to store program code for the processor to perform the following steps:
under the condition that the target object displayed on the application program of the first account is detected to be executed with target operation, displaying an account list associated with the first account;
under the condition that the selection operation of a second account in the account list is detected to be executed, matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree;
displaying the first matching degree to the first account;
and displaying first prompt information to the first account when the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
When the embodiments of the present application are specifically implemented, reference may be made to the above embodiments, and corresponding technical effects are achieved.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A recommendation method for a target item is characterized by comprising the following steps:
under the condition that the target object displayed on the application program of the first account is detected to be executed with target operation, displaying an account list associated with the first account;
under the condition that the selection operation of a second account in the account list is detected to be executed, matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree;
displaying the first matching degree to the first account;
and displaying first prompt information to the first account when the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
2. The recommendation method according to claim 1, wherein after presenting the first degree of match to the first account, the recommendation method further comprises:
under the condition that the first matching degree is lower than the threshold value of the matching degree, acquiring a replacement object of which the second matching degree of the attribute information and the shopping preference picture of the second account is higher than or equal to the threshold value of the matching degree;
and displaying second prompt information and the replacement item to the first account, wherein the second prompt information is used for prompting that the target item does not accord with the shopping preference of the second account and the replacement item accords with the shopping preference of the second account.
3. The recommendation method according to claim 1, wherein before matching the attribute information of the target item with the shopping preference profile of the second account to obtain a first matching degree, the recommendation method further comprises:
comparing the feature data of the target object with the feature data corresponding to each of a plurality of classification labels, wherein the classification labels are obtained by classifying shopping preference portrait of a plurality of accounts;
determining a classification label with the characteristic data consistent with the characteristic data of the target article in the plurality of classification labels as the classification label of the target article;
and determining the classification label of the target item as the attribute information of the target item.
4. The recommendation method according to claim 3, wherein the matching the attribute information of the target item with the shopping preference profile of the second account, and obtaining the first matching degree comprises:
acquiring a preference label corresponding to the shopping preference image of the second account;
matching the preference label corresponding to the shopping preference image of the second account with the classification label of the target object to obtain the first matching degree.
5. The recommendation method according to claim 3, wherein before comparing the feature data of the target item with the feature data corresponding to each of the plurality of category labels, the recommendation method further comprises:
collecting shopping preference portraits of the multiple accounts;
and classifying the shopping preference portraits of the plurality of accounts to obtain the plurality of classification labels.
6. A recommendation device for a target item, the recommendation device comprising:
the display module is used for displaying an account list associated with a first account under the condition that the target operation of a target article displayed on an application program of the first account is detected;
the matching module is used for matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree under the condition that the selection operation of the second account in the account list is detected;
the first display module is used for displaying the first matching degree to the first account;
and the second display module displays first prompt information to the first account under the condition that the first matching degree is higher than or equal to a matching degree threshold, wherein the first prompt information is used for prompting that the target object conforms to the shopping preference of the second account.
7. The recommendation device of claim 6, further comprising:
the acquisition module is used for acquiring a replacement object of which the second matching degree of the attribute information and the shopping preference image of the second account is higher than or equal to the matching degree threshold value under the condition that the first matching degree is lower than the matching degree threshold value after the first matching degree is displayed to the first account;
and the third display module is used for displaying second prompt information and the replacement object to the first account, wherein the second prompt information is used for prompting that the target object does not accord with the shopping preference of the second account and the replacement object accords with the shopping preference of the second account.
8. The recommendation device of claim 6, further comprising:
the comparison module is used for comparing the feature data of the target object with the feature data corresponding to each classification label in a plurality of classification labels before matching the attribute information of the target object with the shopping preference portrait of the second account to obtain a first matching degree, wherein the classification labels are obtained by classifying the shopping preference portraits of the plurality of accounts;
a first determining module, configured to determine, as a classification tag of the target item, a classification tag in which feature data in the plurality of classification tags is consistent with feature data of the target item;
and the second determination module is used for determining the classification label of the target article as the attribute information of the target article.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the recommendation method of any of claims 1 to 5 when executing the computer program.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the recommendation method of any one of claims 1 to 5.
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| CN202010968813.5A CN112150195B (en) | 2020-09-15 | Recommendation method, device and equipment for target object and computer readable medium |
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| CN202010968813.5A CN112150195B (en) | 2020-09-15 | Recommendation method, device and equipment for target object and computer readable medium |
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