Pseudo-correlation feedback model information retrieval method and system based on semantic similarity

Abstract

The invention provides a pseudo-correlation feedback model information retrieval method and system based on semantic similarity. The method comprises the following steps: carrying out a first query from a target document set according to a query keyword to extract a pseudo-related document set, carrying out query expansion by adopting a Rochio algorithm, carrying out query expansion according to the semantic similarity of sentences, fusing the results of the two query expansion methods, and carrying out a second query to realize final information retrieval. According to the invention, when theextended lexical item is selected; the importance degree relationship between the query lexical item and the extension word in the traditional method can be highlighted; the semantic correlation of the sentences where the lexical items are located is combined; the condition that lexical items are associated when sentence semantics are similar in reality is met; According to the method and the device, the conditions that the semantics are related even if the lexical items are different are represented, so that the query words have better regional indexing in a multi-semantic environment, a large amount of useless and irrelevant information can be removed from mass information, more accurate candidate words can be obtained, and the precision of expanded query and final retrieval can be improved.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and in particular relates to an information retrieval method and system for integrating semantic similarity into a pseudo correlation feedback model. Background technique [0002] In the age of information competition, browsing and obtaining desired information with the help of search engines is an important part of people's daily life. However, the extremely rich network resources and the rapid expansion of the total amount of information make it difficult for users to efficiently and accurately obtain and identify important information. Information processing technology urgently needs a more effective theory and method to deal with the growing mass of data. As a classic text processing technology, information retrieval can adapt to this requirement and quickly become a research hotspot in the current information processing research field. [0003] Information Retrieval refers to ...

AI Technical Summary

Problems solved by technology

In practical problems, users often have incomplete or inaccurate query input. At this time, query expansion technology is needed to improve this problem.

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