Searching method and equipment

A search method and technology of search equipment, applied in the field of Internet information search, can solve the problems of low semantic correlation of search results and poor user experience

Active Publication Date: 2017-06-09
ALIBABA GRP HLDG LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the embodiment of the present application provides a search method and device, which are used to solve the problem of poor user experience due to the low semantic relevance of search results in existing search engines

Method used

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Embodiment Construction

[0024] In order to achieve the purpose of this application, an embodiment of this application provides a search method and device, which receives a search keyword input by a user, and obtains at least one search document related to the search keyword based on the search keyword, Determine the semantic vector of the search keyword, the semantic vector is used to characterize the position of the search keyword in the semantic vector space; according to the semantic vector of the search keyword and the semantic vector of each of the search documents, Calculate the semantic correlation between each of the search documents and the search keywords, the semantic vector of the document is based on the semantic vector of the document title, the semantic vector of the document identification and the document category The semantic vector fusion is obtained; according to the semantic correlation, the search document is sorted, and the search document is output to the user according to the ...

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Abstract

The invention discloses a searching method and searching equipment. The searching method comprises the following steps: receiving a search keyword input by a user, acquiring at least one search document relating to the search keyword based on the search keyword, and determining the semantic vector of the search keyword; according to the semantic vector of the search keyword and the semantic vector of each search document, calculating the semantic correlation between each search document and the search keyword; according to the semantic correlation, sequencing the search documents and outputting the search documents to the user according to the sequencing result. The semantic vector of the document of a search engine is acquired according to the semantic vector of a document tile, the semantic vector of a document identifier and the semantic vector of a document category, so that the semantic information of the document can be expressed accurately, the precision of the semantic correlation between the document acquired by calculation and the search keyword is improved, the search precision of the search engine is improved, and the user experience on the search engine is improved.

Description

technical field [0001] The present application relates to the technical field of Internet information search, in particular to a search method and device. Background technique [0002] The level of correlation is an important factor used to characterize the search accuracy of the search engine, and is also one of the important factors affecting the user's satisfaction with the search results fed back by the search engine. [0003] At present, when a search engine receives a query request sent by a user, it judges whether the keywords contained in the query request are related to the subject of the document contained in the index library, and then outputs and displays the relevant documents as search results to the user. . [0004] In the prior art, the way of judging whether the keyword contained in the query request is related to the subject of the document contained in the index database generally uses a topic model method based on the bag of words method. The specific m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/332G06F16/338G06F16/36G06F16/951
Inventor 杨旭东黄云平
Owner ALIBABA GRP HLDG LTD
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