Matching system and method based on information search

Abstract

The invention provides a matching system and method based on information search. The method includes carrying out word segmentation on the search content input by the user by using an initialized search logic unit and storing search keywords after word segmentation; executing keyword matching search in general page text elements of the search page set; sending the search result page set to the weighted reconstruction module, so that in the Internet information search process, secondary iteration and advanced multi-parameter adaptive search based on general page text element search can be realized, and page elements of a search object page are fully utilized to help a user to improve the information search matching degree.

Description

technical field [0001] The invention belongs to the field of new generation computer information technology, and in particular relates to a matching system and method based on information search. Background technique [0002] How to accurately find information that matches user needs in the Internet where data redundancy can be seen everywhere is one of the key issues in the era of big data, in order to improve data utilization and strengthen data storage and processing. [0003] In the era of Internet information explosion, if you can effectively identify information sources, information search, matching, and identification of useful information are very important skills. Master a very complete set of information retrieval and sorting methods: Baidu, GOOGLE, libraries, Various libraries, databases, and even Taobao search. This is a requirement and a capability. [0004] As the carrier and foundation of Internet information search and matching, the advent of the Internet e...

AI Technical Summary

Problems solved by technology

[0011] Today's Internet information search, mostly performs simple text matching on the ordinary text inside the page, lacks the consideration of auxiliary elements in the page content, and the recommendation and retrieval process is implemented mechanically, the logic is relatively simple, and the comparison of multi-entry parameters is not fully realized. Synthesis and weight distribution, and no contextual analysis of user adaptive recall results, resulting in the current Internet information search and matching methods with high complexity, poor recall results, low user satisfaction, and various Duplicate Recommendations and Recommendation Bias

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