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Context-aware query classification
2009
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09
Understanding users' search intent expressed through their search queries is crucial to Web search and online advertisement. Web query classification (QC) has been widely studied for this purpose. Most previous QC algorithms classify individual queries without considering their context information. However, as exemplified by the well-known example on query "jaguar", many Web queries are short and ambiguous, whose real meanings are uncertain without the context information. In this paper, we
doi:10.1145/1571941.1571945
dblp:conf/sigir/CaoHSJSCY09
fatcat:5lylbtw5ujfqdes5qnwdtp5an4