Semantic search method based on multi-semantic analysis and personalized sequencing

Abstract

The invention discloses a semantic search method based on multi-semantic analysis and personalized sequencing, and belongs to the field of information search. The semantic search method adopts the technical scheme comprising the following steps: firstly, by a crawler technology and other technologies, acquiring webpage documents from the Internet, classifying the webpage documents by using a support vector machine, establishing a word vector library by a multi-semantic analysis method, and writing multi-classification results into an index to form an index library; secondly, based on the word vector library, forming search keywords input by a user into a query vector, performing class matching query with the index library to obtain an initial sequencing result; and finally, according to personalized information and history access information of the user, optimizing the initial sequencing result, and returning the optimized result to the user. By the semantic search method based on the multi-semantic analysis and the personalized sequencing, the word vector library and the index library with rich semantemes are formed; and through the personalized information and the history access information, a search result can meet a search demand of the user better and search satisfaction of the user can be improved.

Description

Technical field [0001] The invention belongs to the field of information retrieval, and in particular relates to a semantic retrieval method based on multi-semantic analysis and personalized sorting. Background technique [0002] A search engine is a system that collects information from the Internet according to certain strategies and uses specific computer programs, organizes and processes the information, provides retrieval services to users, and displays the relevant information retrieved by the user to the user. In response to the rapid growth of information capacity on the Internet, search engines came into being. Today, it has become an indispensable way for people to obtain information from the Internet. However, today's mainstream keyword-based search engines such as Google, Baidu, Bing, Yahoo, etc. generally have some thorny problems. For example, there will be a large number of irrelevant links in user search results; due to the diversity of user groups, a singl...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the existing problems in retrieval accuracy and user retrieval experience in existing information retrieval, the present invention proposes a semantic retrieval method based on multi-semantic analysis and personalized sorting

Images