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Automatic search engine performance evaluation with click-through data analysis
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Source
International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents
Banff, Alberta, Canada
POSTER SESSION: Search table of contents
Pages: 1133 - 1134  
Year of Publication: 2007
ISBN:978-1-59593-654-7
Authors
Yiqun Liu  Tsinghua University
Yupeng Fu  Tsinghua University
Min Zhang  Tsinghua University
Shaoping Ma  Tsinghua University
Liyun Ru  Sohu Inc. R&D center
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. With click-through data analysis, we proposed an automatic search engine performance evaluation method. This method generates navigational type query topics and answers automatically based on search users. querying and clicking behavior. Experimental results based on a commercial Chinese search engine's user logs show that the automatically method gets a similar evaluation result with traditional assessor-based ones.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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T. Joachims, Evaluating Retrieval Performance Using Clickthrough Data. In SIGIR Workshop, 2002.
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Y. Liu, M. Zhang, L. Ru and S. Ma, Automatic Query Type Identification Based on Click-through Information, in LNCS 4182, pp. 593--600, 2006.


Collaborative Colleagues:
Yiqun Liu: colleagues
Yupeng Fu: colleagues
Min Zhang: colleagues
Shaoping Ma: colleagues
Liyun Ru: colleagues