Information retrieval method, device and equipment and computer readable storage medium

An information retrieval and information retrieval technology, applied in the Internet field, can solve problems such as inflexibility of similarity measurement, inability to distinguish the importance of localized information, inability to deal with text semantic correlation, etc., to achieve the effect of improving accuracy and fault tolerance

Active Publication Date: 2020-10-09
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the probability model and language model in related technologies pay too much attention to the importance of word co-occurrence, cannot deal with the semantic correlation of text, and cannot distinguish the importance of localized information in different contexts, and the measurement of similarity is not flexible enough

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  • Information retrieval method, device and equipment and computer readable storage medium
  • Information retrieval method, device and equipment and computer readable storage medium
  • Information retrieval method, device and equipment and computer readable storage medium

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0042] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meaning as commonly understood by those skilled in the technical field of the embodiments of the present application. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the pres...

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Abstract

The embodiment of the invention provides an information retrieval method, device and equipment and a computer readable storage medium, and the method comprises the steps: carrying out the text segmentation of to-be-retrieved information in a received information retrieval request, and obtaining at least two fields; obtaining a feature vector of the to-be-retrieved information and a sub-feature vector of each field; in a preset full text space, performing first clustering processing on texts in a preset text library according to the feature vectors to obtain a first number of candidate texts; performing second clustering processing on the first number of candidate texts according to the sub-feature vectors in a preset sub-text space to obtain a second number of recalled texts; taking the recalled text as a retrieval result of the information retrieval request, and outputting the retrieval result. Through the embodiment of the invention, the similarity between the to-be-retrieved information and the recalled text can be flexibly measured according to the semantic relevancy of the text, and the retrieval accuracy of an information retrieval system is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of the Internet, and relate to, but are not limited to, an information retrieval method, device, equipment, and computer-readable storage medium. Background technique [0002] From the perspective of correlation calculation in information retrieval, text retrieval methods can be roughly divided into text-based, structure-based and user information-based retrieval methods, among which text-based retrieval methods include retrieval methods based on probability theory. [0003] In related technologies, the probability model and language model based on text and probability theory retrieval mainly include: BM25 (an algorithm used to calculate the similarity score between query information and documents in the field of information indexing), deep semantic structure model (DSSM, Deep Semantic Structured Model), multi-granularity convolutional neural network (MultiGranCNN, MultiGran Convo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F16/31G06F40/30G06N3/04G06N3/08
CPCG06F16/3344G06F16/353G06F16/319G06F40/30G06N3/08G06N3/045
Inventor 翟彬旭张雨春翁泽峰张东于范云霓
Owner TENCENT TECH (SHENZHEN) CO LTD
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