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Lecture Notes in Computer Science
The increased availability of large amounts of data about user search behaviour in search engines has triggered a lot of research in recent years. This includes developing machine learning methods to build knowledge structures that could be exploited for a number of tasks such as query recommendation. Query flow graphs are a successful example of these structures, they are generated from the sequence of queries typed in by a user in a search session. In this paper we propose to modify the querydoi:10.1007/978-3-642-25631-8_18 fatcat:n4pcjcfvc5b6tce7izvyqtfcoa