[1]WANG Chao,LIU Yiqun,MA Shaoping.A survey of click models for Web browsing[J].CAAI Transactions on Intelligent Systems,2016,11(6):711-718.[doi:10.11992/tis.201605023]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
11
Number of periods:
2016 6
Page number:
711-718
Column:
综述
Public date:
2017-01-20
- Title:
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A survey of click models for Web browsing
- Author(s):
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WANG Chao; LIU Yiqun; MA Shaoping
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State Key Lab of Intelligent Technology and Systems, Tsinghua University, Beijing 100084, China
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- Keywords:
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search engine; information retrieval; result ranking; user behavior analysis; click model
- CLC:
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TP391
- DOI:
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10.11992/tis.201605023
- Abstract:
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The implicit feedback information contained in a user’s search interaction process makes an important contribution to the improvement of search ranking. However, since user behavior is affected by several factors (or biases) caused by the ranked positions of the results, presentation styles, etc., it is difficult to directly adopt click information as a relevant feedback mechanism of the search sequence task. To shed light on this research question, researchers have proposed several click models to describe how users examine and click on results from the search engine result pages (SERPs). Based on these models, it is possible to estimate the examination probability of search results and thus reduce the influence of behavior biases to obtain a justified estimation of the result’s relevance. Much attention has been paid to the click model in recent years because it helps commercial search engines to improve ranking performance. In this paper, recent efforts made in constructing click models were investigated and their differences were compared in both performance and application scenarios.