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

A search engine and user technology, applied in the field of Internet information, can solve problems such as repeated queries, complex information needs, keyword modification, etc., and achieve the effect of promoting development and improving service quality

Active Publication Date: 2015-08-05
ZHEJIANG HONGCHENG COMP SYST
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  • Abstract
  • Description
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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.

Method used

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

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with specific embodiments, but the protection scope of the present invention is not limited to this:

[0032] A method for providing personalized needs of search engine users based on log mining. The flowchart is as follows figure 1 As shown, the method is divided into three stages: data preprocessing, training and evaluation; the main steps of the data preprocessing stage include:

[0033] Step 1. Based on the search engine log data, analyze the user's possible behaviors in the process of using the search engine:

[0034] a) Query:

[0035] Represents the behavior of users submitting query keywords to the search engine (one query may submit multiple keywords); including click query in various types of guide areas, query keyword recommendation, search box word change, query keyword source filtering, etc. ;

[0036] b) Turn page of search result list:

[0037] Indicates that the user turns the page of the result ...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 陈益解正宇陈岭刘荣游
Owner ZHEJIANG HONGCHENG COMP SYST
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