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Knowledge graph-based search result updating method and device and computer equipment

A technology of knowledge graph and search results, applied in computing, digital data information retrieval, unstructured text data retrieval, etc., can solve the problems of poor correlation of results and low user click-through rate, so as to improve click-through rate, improve relevance, The effect of improving service quality

Pending Publication Date: 2021-09-24
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a method, device and computer equipment for updating search results based on knowledge graphs, aiming to solve the technical problems of poor correlation of search results and low click-through rate of users in the prior art

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  • Knowledge graph-based search result updating method and device and computer equipment
  • Knowledge graph-based search result updating method and device and computer equipment
  • Knowledge graph-based search result updating method and device and computer equipment

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Embodiment Construction

[0051] It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0052] Such as figure 1 As shown, this application provides a method for updating search results based on knowledge graphs, including:

[0053] S1. Obtain the content entities queried by the user in the knowledge graph based on the search content within a preset time period;

[0054] S2. Obtain the number of times the user clicks on the content entity;

[0055] S3. Calculate floating correlation weights between the content entity and the search content according to the number of clicks;

[0056] S4. Obtain an initial correlation weight between the content entity and the search content;

[0057] S5. Calculate the total correlation weight between the content entity and the search content according to the floating correlation weight between the content entity and the search content and the initial...

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Abstract

The invention belongs to the technical field of correlation analysis, and discloses a knowledge graph-based search result updating method. The method comprises the following steps of: in a preset time period, acquiring a content entity inquired by a user in a knowledge graph based on search content; obtaining the number of clicks of the user on the content entity; calculating a floating correlation weight of the content entity and the search content according to the number of the clicks; obtaining an initial correlation weight of the content entity and the search content; calculating a total correlation weight according to the floating correlation weight and the initial correlation weight; replacing the initial correlation weight in the knowledge graph with the total correlation weight to complete updating of the knowledge graph; and when the user searches again, returning a search result corresponding to the search content based on the updated knowledge graph. According to the knowledge graph-based search result updating method and device and the computer equipment, the technical problems of poor correlation of search results in a vertical field and low user click rate in the prior art are solved.

Description

technical field [0001] The present application relates to the technical field of correlation analysis, in particular to a method, device and computer equipment for updating search results based on knowledge graphs. Background technique [0002] With the development of Internet technology, the application fields of search and recommendation algorithms are becoming wider and wider. Traditional search recommendation algorithms are mostly based on full-text retrieval, that is, using the relationship between words and content to establish an inverted index. When a user initiates a search, keyword matching is performed based on the index and the matched content is recommended to the user. Due to the lack of content on the platform, it is not What the user wants, or the relevance of the search recall results is insufficient, or the search intent is not clear, resulting in a low or low click-through rate for users. Because the traditional search recommendation algorithm is based on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/9535G06F40/211G06F40/289
CPCG06F40/211G06F40/289G06F16/367G06F16/9535
Inventor 王鹏
Owner PING AN TECH (SHENZHEN) CO LTD