Index building method, searching method and searching result sorting method and corresponding device

Abstract

The invention provides an index building method, a searching method and a searching result sorting method and a corresponding device, wherein the index building method comprises the following steps of: performing word segmentation and part-of-speech tagging on a page; based on semantic analysis or at least one of visual features in the page, determining an entity word and the corresponding attributive word of the entity word in each word obtained after word segmentation, and respectively tagging the entity word or the attributive word; and when building the index of the page, simultaneously adding the entity words or the attributive words of the words used for index building into the index. While searching the query, matching the entity word or attributive word tags of the words, or when sorting the search results of the query, improving a sorting weight of the page corresponding to the index matched with each word in the query and the entity word or attributive word tag of each word. By the methods and the device provided by the invention, the searching accuracy can be improved, and the searching effect is perfected.

Description

【Technical field】

[0001] The invention relates to the field of computer technology, in particular to an index establishment method, a search method, a search result sorting method and a corresponding device. 【Background technique】

[0002] With the rapid development of search technology in computer technology, search engines have become the main means for people to obtain information. After the user inputs a search request (query), the search engine can return search results matching the query to the user, that is, pages containing each word in the query will be included in the search results.

[0003] In the existing search technology, in the recalled search results, there may be some pages that are less relevant to the query entered by the user. Therefore, when sorting the search results, it is mainly based on the feature vector and query of the pages in the search results. The correlation degree is carried out, and the search results with a high correlation degree betwee...

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