A method for providing personalized needs of search engine users based on log mining

Abstract

The invention relates to the technical field of internet information, in particular to a method for providing the individual needs of a search engine user based on log mining. The method comprises the steps as follows: firstly, creating models for user search behaviors by adopting a Markov model, wherein the models comprise a user satisfaction behavior model and a user dissatisfaction model; secondly, calculating the user search behaviors by using maximum likelihood estimations generated in the satisfaction behavior model and the dissatisfaction model respectively; and lastly, evaluating the user satisfaction degree by using a maximum likelihood estimation ratio, evaluating the user satisfaction degree in a complicated and fuzzy search engine user behavior information log, analyzing the individual needs of the user, and providing the results of the individual needs to the user through a search engine so as to promote the development of the search engine technology and improve the service quality of the search engine.

Description

Technical field [0001] The present invention relates to the field of Internet information technology, in particular to a method for providing personalized needs of search engine users based on log mining. Background technique [0002] With the rapid expansion of Internet information, search engines have become the main way to guide users to obtain information. Although search engines represented by Baidu and Google have achieved great success, they still cannot meet the increasing demand for user information and efficient and convenient access. Information resource requirements. How to provide network users with high-quality search services, and how to give users satisfactory results from the user's perspective, so as to attract more customers to use, has always been the focus of commercial search engines. [0003] Traditional search engine quality evaluation methods generally only consider the quality of the result page returned by a single query, such as relevance, accuracy, tim...

AI Technical Summary

Problems solved by technology

However, the information needs of users when using search engines are sometimes complex and vague, and keywords may be modified and re-queried during the search process.

Therefore, the quality of the result page returned by a single query cannot represent the satisfaction degree of the user's information needs, and the quality of the result page returned by a single query as an indicator for evaluating the quality of a search engine cannot well promote the performance optimization of the search engine.

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