The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Parallel boosted regression trees for web search ranking
Proceedings of the 20th international conference on World wide web
Generating suggestions for queries in the long tail with an inverted index
Information Processing and Management: an International Journal
Learning to suggest: a machine learning framework for ranking query suggestions
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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We propose the use of learning to rank techniques to shorten query sessions by maximizing the probability that the query we predict is the "final" query of the current search session. We present a preliminary evaluation showing that this approach is a promising research direction.