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Content resource recommendation method, device, electronic device and storage medium

A recommendation method and resource technology, applied in the direction of electronic digital data processing, instruments, unstructured text data retrieval, etc., can solve the problem that the recommendation effect is difficult to guarantee, and achieve the effect of improving accuracy

Active Publication Date: 2022-05-27
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, in the cold start scenario, when the historical click data is little or even completely non-existent, if the above method is still used, the recommendation effect is often difficult to guarantee

Method used

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  • Content resource recommendation method, device, electronic device and storage medium
  • Content resource recommendation method, device, electronic device and storage medium
  • Content resource recommendation method, device, electronic device and storage medium

Examples

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Embodiment Construction

[0029] Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0030] In addition, it should be understood that the term "and / or" in this document is only an association relationship for describing associated objects, indicating that there can be three kinds of relationships, for example, A and / or B, which can mean that A exists alone, and A exists at the same time and B, there are three cases of B alone. In addition, the char...

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Abstract

The disclosure discloses a content resource recommendation method, device, electronic equipment, and storage medium, and relates to artificial intelligence fields such as knowledge graphs, natural language processing, and deep learning. The method may include: constructing a tag graph composed of various tags; , to add tags for each content resource to be recommended; for any cold-start user, add tags for the user according to the tag map; determine the content resources recommended to the user according to the tags of the user and each content resource, and make recommendations. Applying the solution described in the present disclosure can solve the problem of content resource recommendation in a cold start scenario, and improve the accuracy of recommendation results, etc.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular, to a content resource recommendation method, apparatus, electronic device and storage medium in the fields of knowledge graph, natural language processing and deep learning. Background technique [0002] As an important means of information filtering, recommendation system is one of the effective methods to solve the problem of information overload, and it is the core technology of user-oriented Internet products. [0003] The current recommendation system usually adopts the following methods: recalling content resources that users may be interested in based on user portrait information, evaluating the probability of different content resources that the user clicks and recalling, and selecting some content resources with high probability to recommend to users. [0004] A pre-trained network model needs to be used in the above operations such as recall a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/36
CPCG06F16/9535G06F16/367
Inventor 刘昊王文华肖欣延
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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