Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
On term selection for query expansion
Journal of Documentation
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Local Feedback in Full-Text Retrieval Systems
Journal of the ACM (JACM)
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Flexible pseudo-relevance feedback using optimization tables
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Unity: relevance feedback using user query logs
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Re-ranking search results using query logs
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
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Effective ranking algorithms for mobile web search are being actively pursued. Due to the peculiar and troublesome properties of mobile contents such as scant text, few outward links, and few input keywords, conventional web search techniques using bag-of-words ranking functions or link-based algorithms are not good enough for mobile web search. Our solution is to use click logs; the aim is to extract only access concentrated search results from among the many search results. Users typically click a search result after seeing its title and snippet, so the titles and snippets of the access concentrated sites must be good relevance feedback sources that will greatly improve mobile web search performance. In this paper, we introduce a new measure that is capable of estimating the degree of access concentration and present a method that uses the measure to precisely extract the access concentration sites from many search results. Query expansion with terms extracted from the access concentration sites is then performed. The effectiveness of our proposal is verified in an experiment that uses click logs and data from a real mobile web search site.