An Internet information retrieval system and method

Abstract

The invention provides an internet information retrieval system and method. Before retrieval, a user carries out weighted configuration on page auxiliary elements expected to be retrieved; weighted reconstruction is carried out based on different types of page weighted matching results, and is combined with a context analysis result of a target page, so that center arrangement of retrieved page information is realized, and better Internet information retrieval accuracy and precision and better Internet information user retrieval satisfaction are achieved.

Description

technical field [0001] The invention belongs to the field of new generation computer information technology, and in particular relates to an Internet information retrieval system and method. Background technique [0002] The use of Internet information is based on the collection, merging, classification or keyword identification of Internet information. If the Internet information with a huge amount of data cannot be obtained purposefully, it will lead to large data redundancy. And useless, resulting in waste of data and storage space. [0003] Internet information retrieval is a feasible means of purposefully using Internet big data and available information for further information data analysis. [0004] Internet Information Retrieval (IIR: Internet Information Retrieval) generally refers to Internet retrieval. Through network interface software, users can query information resources on the Internet in various places on a terminal. This type of retrieval system is develo...

AI Technical Summary

Problems solved by technology

[0016] In the current Internet information retrieval and utilization scenarios, users do not fully consider the auxiliary elements in the page content, and the recommendation and retrieval process is implemented in a single line, the logic is relatively simple, and the comparison, synthesis, and weight distribution of multi-entry parameters have not been fully realized. The context analysis of user adaptive recall results leads to the current Internet information recommendation method having high complexity, poor recall results, low user satisfaction, multiple repeated recommendations and recommendation deviations, and users There is insufficient intervention in the process of Internet information retrieval, resulting in the situation that the retrieval results are too far from the user's expectations

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