CN-121980074-A - Data processing method and system

CN121980074ACN 121980074 ACN121980074 ACN 121980074ACN-121980074-A

Abstract

The embodiment of the specification provides a data processing method and a data processing system, wherein the data processing method comprises the steps of determining regional characteristic data and users of a target region, determining candidate objects based on the regional characteristic data and the user data of the users, generating object characteristics based on the candidate objects and the regional characteristic data, generating user characteristics based on the user data and the regional characteristic data, inputting the object characteristics and the user characteristics into an object processing model to obtain candidate object sequences, and updating the candidate object sequences based on the regional object sets associated with the target region to obtain target candidate object sequences.

Inventors

KOU LEI
ZENG XIAOYI
MA XIAOYUN
YU YANG
SHEN LEI
CHEN XIN
Jian Yingchun
ZHANG CHAO
WANG CHUNQI
WANG BING

Assignees

杭州阿里巴巴海外网络科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251202

Claims (15)

1. A data processing method, comprising: Determining regional feature data and a user of an associated target region, and determining a candidate object based on the regional feature data and user data of the user; Generating object features based on the candidate object and the regional feature data, and generating user features based on the user data and the regional feature data; And inputting the object features and the user features into an object processing model to obtain a candidate object sequence, and updating the candidate object sequence based on the regional object set associated with the target region to obtain a target candidate object sequence.
2. The data processing method according to claim 1, the determining a candidate object based on the regional characteristic data and the user data of the user, comprising: And processing the regional characteristic data and the user data of the user based on an object recall strategy, and determining the candidate object according to a processing result, wherein the object recall strategy comprises index matching recall, regional characteristic association recall and/or generation recall.
3. The data processing method of claim 2, wherein in the event that the candidate object is determined based on the index matching recall, the determination of the candidate object comprises: Determining user personality characteristics of the user based on the user data, and constructing an object identifier based on the user personality characteristics and the regional characteristic data; Determining a first candidate object matched with the object identification in an object data table, and taking the first candidate object as the candidate object; in the case that the candidate object is determined based on the regional feature association recall, the determination of the candidate object includes: Determining a second candidate object matched with the regional object set and the regional keyword corresponding to the regional characteristic data in the object set, and taking the second candidate object as the candidate object; in the case that the candidate object is determined based on the generated recall, the determination of the candidate object includes: and inputting the regional characteristic data and the user data into a data generation model, obtaining a third candidate object, and taking the third candidate object as the candidate object.
4. A data processing method according to claim 3, said inputting said regional characteristic data and said user data into a data generation model, obtaining a third candidate object, comprising: Inputting the regional characteristic data and the user data into a data generation model to obtain a third candidate object identification; And searching the object set based on the third candidate object identification to obtain the third candidate object.
5. A data processing method according to claim 3, the determining of the set of locale objects comprising: processing the regional characteristic data by using a data processing model to obtain at least one regional keyword; Determining target objects corresponding to the at least one regional keyword respectively, and generating an initial object set based on the at least one target object; Determining object association information associated with the initial object set, and inquiring the object set based on the object association information to obtain a supplementary object; and adding the supplementary object to the initial object set to obtain the regional object set.
6. The data processing method according to claim 4, wherein the processing the regional feature data using the data processing model to obtain at least one regional keyword comprises: constructing model prompt information based on festival data, environment data and topic data contained in the regional characteristic data; and inputting the model prompt information and the regional characteristic data into the data processing model to obtain the at least one regional keyword corresponding to the regional characteristic data.
7. The data processing method according to claim 4, wherein the determining the target objects to which the at least one regional keyword corresponds respectively includes: Querying a first target object corresponding to the at least one regional keyword in the object set; Performing network searching based on the at least one regional keyword to obtain an object image, and inquiring a second target object corresponding to the object image in the object set; and taking the first target object and the second target object as the target objects.
8. The data processing method of claim 5, the adding the supplemental object to the initial set of objects to obtain the regional set of objects, comprising: adding the supplementary object to the initial object set to obtain an intermediate region object set; calculating correlation data between the middle region object and the at least one region keyword in the middle region object set; Determining historical object data of the intermediate region object, and calculating object efficiency data based on the historical object data; and determining object scores based on the correlation data and the object efficiency data, and performing object screening on the middle regional object set based on the object scores to obtain the regional object set.
9. The data processing method according to claim 1, wherein the updating the candidate object sequence based on the regional object set associated with the target region to obtain a target candidate object sequence includes: Determining an object to be processed associated with a regional object set associated with the target region in the candidate object sequence; Determining an environmental score of the object to be processed, and determining a priority of the object to be processed based on the environmental score; And adjusting the sequence of the objects to be processed in the candidate object sequence according to the priority, so as to obtain the target candidate object sequence.
10. A data processing system comprising a client and a server, comprising: The client is used for determining an object acquisition request submitted by a user and sending the object acquisition request to the server; the server side is used for responding to the object acquisition request to determine regional characteristic data of an associated target region and user data of the user, determining candidate objects based on the regional characteristic data and the user data, generating object characteristics based on the candidate objects and the regional characteristic data and generating user characteristics based on the user data and the regional characteristic data, inputting the object characteristics and the user characteristics into an object processing model to obtain candidate object sequences, updating the candidate object sequences based on the regional object sets associated with the target region to obtain target candidate object sequences, and sending the target candidate object sequences to the client side; and the client is used for generating an object page based on the target candidate object sequence and displaying the object page for the user.
11. A recommendation method, comprising: Determining a target area associated with a user in response to an object acquisition request submitted by the user, determining regional feature data of the target area, and determining candidate objects based on the regional feature data and user data of the user; Generating object features based on the candidate object and the regional feature data, and generating user features based on the user data and the regional feature data; And inputting the object features and the user features into an object processing model to obtain a candidate object sequence, updating the candidate object sequence based on the regional object set associated with the target region to obtain a target candidate object sequence, and recommending target candidate objects in the target candidate object sequence to the user.
12. A regional object set construction method, comprising: Processing the regional characteristic data of the target region by using a data processing model to obtain at least one regional keyword; Determining target objects corresponding to the at least one regional keyword respectively, and generating an initial object set based on the at least one target object; Determining object association information associated with the initial object set, and inquiring the object set based on the object association information to obtain a supplementary object; adding the supplemental object to the initial object set to obtain a regional object set, wherein the regional object set is used to update the candidate object sequence in the method of any of claims 1-9.
13. A computing device, comprising: A memory and a processor; the memory is configured to store computer executable instructions, the processor being configured to execute the computer executable instructions, which when executed by the processor, implement the steps of the method of any one of claims 1 to 9.
14. A computer readable storage medium storing computer executable instructions which when executed by a processor implement the steps of the method of any one of claims 1 to 9.
15. A computer program product comprising a computer program or instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 9.

Description

Data processing method and system Technical Field Embodiments of the present disclosure relate to the field of data processing technologies, and in particular, to a data processing method and system. Background In a personalized recommendation system, high-precision matching of a user and candidate objects (such as commodities, services, contents and the like) is a core for improving user experience and platform conversion efficiency. The conventional recommendation method focuses on collaborative filtering or deep learning modeling between the historical behaviors of the user and the object attributes, so that the remarkable influence of the geographical area where the user is located on the preference and the demand is usually ignored, the matching degree between the object recommended for the user and the user is low, and the recommendation effect is further influenced. Therefore, a more efficient data processing method is needed to solve the above-mentioned problems. Disclosure of Invention In view of this, the present embodiments provide a data processing method. One or more embodiments of the present specification are also directed to a data processing system, a data processing apparatus, a computing device, a computer readable storage medium, and a computer program product that address the deficiencies of the prior art. According to a first aspect of embodiments of the present specification, there is provided a data processing method, including: Determining regional feature data and a user of an associated target region, and determining a candidate object based on the regional feature data and user data of the user; Generating object features based on the candidate object and the regional feature data, and generating user features based on the user data and the regional feature data; And inputting the object features and the user features into an object processing model to obtain a candidate object sequence, and updating the candidate object sequence based on the regional object set associated with the target region to obtain a target candidate object sequence. According to a second aspect of embodiments of the present specification, there is provided a data processing system, comprising a client and a server, comprising: The client is used for determining an object acquisition request submitted by a user and sending the object acquisition request to the server; the server side is used for responding to the object acquisition request to determine regional characteristic data of an associated target region and user data of the user, determining candidate objects based on the regional characteristic data and the user data, generating object characteristics based on the candidate objects and the regional characteristic data and generating user characteristics based on the user data and the regional characteristic data, inputting the object characteristics and the user characteristics into an object processing model to obtain candidate object sequences, updating the candidate object sequences based on the regional object sets associated with the target region to obtain target candidate object sequences, and sending the target candidate object sequences to the client side; and the client is used for generating an object page based on the target candidate object sequence and displaying the object page for the user. According to a third aspect of embodiments of the present specification, there is provided a recommendation method, including: Determining a target area associated with a user in response to an object acquisition request submitted by the user, determining regional feature data of the target area, and determining candidate objects based on the regional feature data and user data of the user; Generating object features based on the candidate object and the regional feature data, and generating user features based on the user data and the regional feature data; And inputting the object features and the user features into an object processing model to obtain a candidate object sequence, updating the candidate object sequence based on the regional object set associated with the target region to obtain a target candidate object sequence, and recommending target candidate objects in the target candidate object sequence to the user. According to a fourth aspect of embodiments of the present specification, there is provided a regional object set construction method, including: Processing the regional characteristic data of the target region by using a data processing model to obtain at least one regional keyword; Determining target objects corresponding to the at least one regional keyword respectively, and generating an initial object set based on the at least one target object; Determining object association information associated with the initial object set, and inquiring the object set based on the object association information to obtain a supplementary object; And adding the supplementary object to