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Feedback model information retrieval method and system based on conceptual network semantics and medium

An information retrieval and concept technology, applied in the field of information retrieval, can solve the problems of too much information and insufficient accuracy, and achieve the effect of high semantic relevance, improving accuracy and saving retrieval time.

Pending Publication Date: 2020-10-02
HUBEI NORMAL UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a feedback model information retrieval method, system and medium based on concept network semantics, to solve the problem of directly using BERT to calculate all documents in the prior art. Technical issues with too much information and not enough precision

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  • Feedback model information retrieval method and system based on conceptual network semantics and medium
  • Feedback model information retrieval method and system based on conceptual network semantics and medium
  • Feedback model information retrieval method and system based on conceptual network semantics and medium

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Embodiment 1

[0031] see figure 1 , figure 1 It is a flowchart of a preferred embodiment of the retrieval method provided by the present invention. The flow chart S10 of the feedback model information retrieval method based on the concept network semantics provided by the present invention comprises the following steps:

[0032] S1, providing multiple query keywords to obtain a pseudo-related document set;

[0033] S2, according to the weighted retrieval model and the semantic query of the concept network, the pseudo-related document set is processed to obtain a plurality of target expansion candidate words;

[0034] S3. Linearly fuse the plurality of query keywords and the plurality of target expansion candidate words to generate a query keyword set;

[0035] S4. Retrieve the set of query keywords to obtain a final retrieval result.

[0036]The feedback model information retrieval method based on the concept web semantics provided by the present invention obtains a pseudo-related docum...

Embodiment 3

[0066] Embodiment 3 of the present invention provides a computer storage medium on which a computer program is stored. When the computer program is executed by a processor, the information retrieval method of Embodiment 1 based on the feedback model of the conceptual network semantics is realized.

[0067] The computer storage medium provided in this embodiment is used to realize the information retrieval method based on the feedback model of the conceptual network semantics. Therefore, the technical effect of the above-mentioned information retrieval method based on the conceptual network semantics feedback model is also possessed by the computer storage medium. I won't repeat them here.

[0068] To sum up, in the information retrieval method, system and medium based on the semantic feedback model of the concept network provided by the present invention, a plurality of query keywords are provided to obtain a pseudo-related document set; The pseudo-related document set is proc...

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Abstract

The invention discloses a feedback model information retrieval method and system based on conceptual network semanteme and a medium, and the method comprises the steps: obtaining a pseudo-related document set through providing a plurality of query keywords; processing the pseudo-correlation document set according to a weight retrieval model and semantic query of a conceptual network to obtain a plurality of target extension candidate words; performing linear fusion on the plurality of query keywords and the plurality of target extension candidate words to generate a query keyword set; and retrieving the query keyword set to obtain a final retrieval result. According to the feedback model information retrieval method and system based on conceptual network semantics and the medium, the userquery efficiency and effect are greatly improved.

Description

technical field [0001] The present invention relates to the technical field of information retrieval, in particular to a feedback model information retrieval method, system and medium based on concept web semantics. Background technique [0002] In the era of rapid development of Internet technology, network information is showing explosive growth, and browsing and obtaining required information with the help of search engines has become an important part of people's daily life. However, the large number and variety of network resources bring convenience to people and make it difficult for users to obtain the information they really need efficiently and accurately. , has become a key point in the research of information processing technology. [0003] Pseudo Relevance Feedback (PRF) provides an automatic partial analysis method, which can automate the manual operation part of relevant feedback, and users can obtain better retrieval performance without additional interaction...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F40/30
CPCG06F16/3344G06F40/30
Inventor 潘敏杨杏本刘兴红徐琦裴全力周成志赵美玲
Owner HUBEI NORMAL UNIV
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