Keyword-based WEB server expansion search method

Abstract

The invention provides a keyword-based WEB server expansion search method. The method comprises that: a search system provided by a WEB server automatically expands out expanded words corresponding to keywords input by a user to perform auxiliary search, namely the search system of the WEB server automatically performs semantic expansion on the keywords searched by the user according to the expansion conditions so as to form new expansion conditions before searching and then returns the searched matched information texts to the user. By the method, the semantic expansion search performance ofthe WEB server can be enhanced, the expansion conditions can be flexibly selected, and the requirement of the user on flexibility of semantic information search can be met better.

Description

technical field [0001] The invention belongs to the technical field of computer and communication, and in particular relates to a keyword-based extended retrieval method of a WEB server. Background technique [0002] The development of Internet and computer network technology has brought unprecedented convenience to people, and the large amount of shared resources contained in it has become one of the important ways for human beings to obtain information. The amount of text information in the Internet is increasing, and the number of documents owned by individuals and organizations is also increasing. With the accuracy and comprehensiveness required by people for information acquisition, how to quickly retrieve the information that meets the needs of users from massive information resources has become an urgent problem to be solved. [0003] In recent decades, the research on text retrieval has made great progress, typically including decision tree, K nearest neighbor, naiv...

AI Technical Summary

Problems solved by technology

[0004] However, the keywords assumed by the VSM model only represent a concept or semantic unit uniquely. In this text processing method based on keyword frequency statistics, the similarity between two texts depends on the number of common words they contain, and cannot reflect semantics. information

However, in many cases, the information that people need to retrieve contains semantic information embodied by keywords. For example, foreign tourists need to inquire about accommodation places in unfamiliar cities and enter the keyword "accommodation". In fact, the content that the tourist needs to inquire Including hostels, hotels, hotels and other information related to "accommodation", in view of this situation, the existing retrieval technology is difficult to meet the user's retrieval needs, so the user can only repeat for different keywords with the same semantics It is very troublesome to search for the information you need

Images