Ziming Zhuang
ABSTRACT
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevant to the user's search intent, and fresh and relevant pages may not get high ranks for an underspecified query due to their freshness and to the large number of pages that match the query, despite the fact that a large number of users have searched for parts of their content recently. We propose a novel method, Q-Rank, to effectively refine the ranking of search results for any given query by constructing the query context from search query logs. Evaluation results show that Q-Rank gains a considerable advantage over the current ranking system of a large-scale commercial Web search engine, being able to improve the relevance of search results for 82% of the queries.
- Cui, H., Wen, J. Nie, J., and Ma, W. Probabilistic Query Expansion Using Query Logs. In Proceedings WWW 2002. Google Scholar
Digital Library
- Jansen, J., and Spink, A. An Analysis of Web Documents Retrieved and Viewed, In Proceedings of ICOMP 2003.Google Scholar
- Jarvelin, K., and Kekalainen, J. IR Evaluation Methods for Retrieving Highly Relevant Documents. In SIGIR 2000. Google ScholarDigital Library
- Lau, T. and Horvitz, E. Patterns of search: Analyzing and modeling web query refinement. In Proceedings of UM 1999. Google ScholarDigital Library
- Kraft, R. and Zien, J. Mining Anchor Text for Query Refinement. In Proceedings of WWW 2004. Google ScholarDigital Library
- Nambiar, U., and Kambhampati, S. Providing Ranked Relevant Results for Web Database Queries. In WWW 2004. Google ScholarDigital Library
- Shen X., and Zhai, C. Exploiting Query History for Document Ranking in Interactive Information Retrieval. In SIGIR 2003. Google ScholarDigital Library
Index Terms
- Re-ranking search results using query logs
Recommendations
How to Improve Your Search Engine Ranking: Myths and Reality
Search engines have greatly influenced the way people access information on the Internet, as such engines provide the preferred entry point to billions of pages on the Web. Therefore, highly ranked Web pages generally have higher visibility to people ...
Finding competitive keywords from query logs to enhance search engine advertising
A novel method is proposed to find competitive keywords for search engine advertising.The method can explore the keyword associations and their topic information hidden in query logs to identify effective keywords for advertisers.Extensive experiments ...
What's Going on in Search Engine Rankings?
AINAW '08: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - WorkshopsMany people use search engines every day to retrieve documents from the Web. Although the social influence of search engine rankings has become significant, ranking algorithms are not disclosed. In this paper, we have investigated three major search ...
Comments