Network resource value evaluation method and application thereof in search engine filed

Abstract

The invention provides a network resource value evaluation method. By means of the method, the value measurement of network resources for search users can be evaluated effectively, accordingly the high-quality network resources really meeting the intention of the search users can be provided to the users in priority, the time spent in browsing and checking web pages is reduced for the users, and search efficiency is improved for the users. The invention further provides a method for applying the network resource value evaluation method to network search engines. By means of the value evaluation method, when network search is conducted, the more accurate weight is given to the searched network resources, by the adoption of the weight, on the one hand, the useless network resources or slightly-better-than-useless network resources can be removed, and on the other hand, the resources more closer to the real intention of the users can be arranged and presented to the users in priority.

Description

technical field [0001] The present invention relates to information retrieval technology, in particular to a method for searching and summarizing by using a specific index of related targets——PeopleRank and its application in the field of search engines. Background technique [0002] At present, search engines generally input one or a group of keywords or text fragments through the user, and after retrieval processing, a considerable number of web pages containing the keyword or text fragment or closely related to it are returned to the user for users to browse and check. required information. [0003] However, the number of webpages on the Internet is extremely huge, and it is still growing at an unprecedented rate. If the traditional search processing mode is still followed, that is, search engine operators simply analyze and process the astonishing amount of webpage resources they have collected. Classify and reserve, then the number of relevant web pages searched accord...

AI Technical Summary

Problems solved by technology

At present, there are many methods for evaluating the relevance of web pages, and most of them focus on factors that can reflect customer needs or intentions in a certain aspect, such as the matching degree of search terms or sentences, and the relationship between web page links. However, only using such retrieval processing methods The obtained web pages often contain many complicated factors, and it is difficult to accurately provide search resources that are closely connected with the actual needs of customers

Therefore, there is no relatively complete and mature evaluation method that can fully reflect the value of web pages.

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