Automatic positioning method of network key resource page

Abstract

An automatic positioning method of network key resource pages belongs to the Internet information handling sector. The invention is characterized in that: the invention firstly screens out inquiry theme words with timeliness and typicality from a number of search engine user inquiry click information records, extracts the corresponding user click result page and 'user click rate' on the result page, and obtains the inquiry theme collection, key resource page candidate collection, and 'user click distribution'; and then, the invention integrates the 'user click distribution' obtained from user inquiry click information records of different search engines, and obtains the integrated 'user click distribution' through 'inquiry liability' information; at last, the invention judges the pages in the key resource page candidate collection according to the integrated 'user click distribution' so as to obtain the subject-related key resource page. The method has the advantages of being automatic, accurate and objective, and being quickly positioned with computers.

Description

technical field [0001] The invention belongs to the field of Internet information processing, in particular to an automatic processing method for locating key network resource pages based on user behavior analysis and mining. Background technique [0002] A search engine is a computer system that collects information on the Internet with a certain strategy, and provides users with network information services after organizing and processing the information. It includes computer networks, computer hardware systems, and software programs running on the hardware systems. part. Its main function is to help users quickly and efficiently obtain high-quality information that exists in the Internet information environment and can meet user needs. [0003] At present, a general search engine includes three parts: information collection, information arrangement and user query. Search engines search for information through tools called web crawlers, use indexers to organize the captu...

AI Technical Summary

Problems solved by technology

But in any case, the shortcomings of the existing topic-related key network resource positioning technology are obvious. Although the workload of manual labeling is greatly reduced, it is still difficult to operate and realize the positioning of large-scale topic-related key resource pages, and manual It is also difficult to avoid the subjective influence of employees caused by labeling

Especially for the application and analysis of large-scale, real-time (the corpus is more than 1 billion pages, and there are a large number of query topics every day or every few days), it is far from enough

In addition, the general search process itself can be regarded as a positioning method, but the search engine returns too many result pages, the retrieval accuracy is low, and user satisfaction is not high

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