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Personalized viewpoint label generation method and system for e-commerce platform

An e-commerce platform and labeling technology, applied in neural learning methods, biological neural network models, unstructured text data retrieval, etc., can solve problems such as ignoring users' individual preferences, shorten the time for key information, and improve platform revenue , Improve the effect of user experience

Pending Publication Date: 2022-07-22
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the order in the traditional view label generation task is determined by the size of the review cluster, which reflects the user's general preference for the product, but ignores the user's personalized preference

Method used

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  • Personalized viewpoint label generation method and system for e-commerce platform
  • Personalized viewpoint label generation method and system for e-commerce platform
  • Personalized viewpoint label generation method and system for e-commerce platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] like figure 1 As shown in the figure, this embodiment provides a method for generating a personalized opinion label for an e-commerce platform. In this embodiment, the method is applied to a server for illustration. It can be understood that this method can also be applied to a terminal. The application includes terminals, servers and systems, and is realized through the interaction of terminals and servers. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud service, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc., b...

Embodiment 2

[0114] This embodiment provides a system for generating a personalized opinion label for an e-commerce platform.

[0115] A personalized opinion label generation system for e-commerce platforms, including:

[0116] A data acquisition module, which is configured to: acquire comment semantic information and behavior records of users in the e-commerce platform;

[0117] an explicit preference tracking module, which is configured to: obtain the user's explicit preference by using an explicit preference tracker based on the comment semantic information;

[0118] an implicit preference tracking module, which is configured to: obtain the user's implicit preference by using an implicit preference tracker based on the behavior record;

[0119] The tag generation module is configured to: generate opinion tags corresponding to the tags of the user's preference by using a tag generator according to the user's explicit preference and the user's implicit preference;

[0120] The explicit ...

Embodiment 3

[0123] This embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the steps in the method for generating a personalized opinion label for an e-commerce platform as described in the first embodiment above .

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Abstract

The invention belongs to the technical field of computers and Internet, and provides a personalized viewpoint label generation method and system for an e-commerce platform. The method comprises the steps of obtaining comment semantic information and behavior records of a user in an e-commerce platform; based on the comment semantic information, adopting an explicit preference tracker to obtain user explicit preference; based on the behavior record, adopting an implicit preference tracker to obtain implicit preference of the user; according to the user explicit preference and the user implicit preference, a label generator is adopted to generate viewpoint labels corresponding to the user preference aspect labels; wherein the explicit preference tracker adopts a hierarchical heterogeneous graph to disseminate a path from a bottom layer to a top layer to obtain user explicit preference; and the implicit preference tracker obtains implicit preference of the user by adopting a multi-class behavior graph. According to the method, explicit and implicit personalized preferences are mined from user comments and user behaviors, and the two preferences are mutually enhanced and complemented, so that mined personalized information is more comprehensive and accurate.

Description

technical field [0001] The invention belongs to the technical field of computers and the Internet, and in particular relates to a method and system for generating a personalized opinion label oriented to an e-commerce platform. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Text summary generation refers to a text compression technology that automatically generates short summaries by extracting key information based on specific texts. The task of text summary generation plays an important role in natural language processing. By accurately and quickly capturing the key points of information in massive information, the speed of information filtering is greatly accelerated, and the increasingly serious problem of information overload is effectively alleviated. In the e-commerce platform, the text summary generation technology mainly relies ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/34G06F40/30G06N3/04G06N3/08G06Q30/02
CPCG06F16/345G06F40/30G06N3/08G06Q30/0282G06Q30/0201G06F2216/03G06N3/045
Inventor 任昭春赵梦雪陈竹敏任鹏杰
Owner SHANDONG UNIV
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