Joint Analysis Method of Multiple Search Behaviors

doi:10.12068/j.issn.1005-3026.2014.09.008

Journal of Northeastern University Natural Science ›› 2014, Vol. 35 ›› Issue (9): 1249-1252.DOI: 10.12068/j.issn.1005-3026.2014.09.008

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Joint Analysis Method of Multiple Search Behaviors

ZHANG Yin^1,2， GAO Kening¹， ZHANG Bin¹

1 School of Information Science & Engineering， Northeastern University， Shenyang 110819， China; 2 Key Laboratory of Medical Image Computing of Ministry of Education， Northeastern University， Shenyang 110819， China.

Received:2013-10-28 Revised:2013-10-28 Online:2014-09-15 Published:2014-04-11
Contact: ZHANG Bin
About author:-
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Abstract

Abstract: Aiming at the fact that available search behavior analysis methods could only analyze one single type of search behavior， which leads to the problems that the user interest could not be effectively get， a joint analysis method of multiple search behaviors was proposed. By combining the analysis of page dwell time， mouse click times，page revisit times and slider move times using M5 model， clues from more angles other than one single type of user behavior were gained for user interest analysis， and joint analysis of high dimension data composed of multiple user behaviors was realized with timeliness ensured for online behavior analysis. Experiment results show that the proposed method can analyze the behaviors better than compared approaches.

Key words: search engine, personalized search, user behavior analysis, search behavior character, user behavior model

CLC Number:

TP391

ZHANG Yin， GAO Kening， ZHANG Bin. Joint Analysis Method of Multiple Search Behaviors[J]. Journal of Northeastern University Natural Science, 2014, 35(9): 1249-1252.

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Joint Analysis Method of Multiple Search Behaviors

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