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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

• 1: Andrei Broder, A taxonomy of web search, ACM SIGIR Forum, v.36 n.2, Fall 2002 [doi>10.1145/792550.792552]
• 2: Tefko Saracevic, Evaluation of evaluation in information retrieval, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.138-146, July 09-13, 1995, Seattle, Washington, United States [doi>10.1145/215206.215351]
• 3: T. Joachims, Evaluating Retrieval Performance Using Clickthrough Data. In SIGIR Workshop, 2002.
• 4: Uichin Lee , Zhenyu Liu , Junghoo Cho, Automatic identification of user goals in Web search, Proceedings of the 14th international conference on World Wide Web, May 10-14, 2005, Chiba, Japan [doi>10.1145/1060745.1060804]
• 5: 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.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software
          Subjects: Performance evaluation (efficiency and effectiveness)

General Terms:
Experimentation, Management

Keywords:
click-through data analysis, performance evaluation