Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the 2009 workshop on Web Search Click Data
Second ACM International Conference on Web Search and Web Data Mining
Query classification based on index association rule expansion
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
On extracting session data from activity logs
Proceedings of the 5th Annual International Systems and Storage Conference
Intent-Based browse activity segmentation
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Identifying intent boundary in search query logs is important for learning users' behaviors and applying their experiences. Time-based, query-based, and cluster-based approaches are proposed. Experiments show that the integration of intent clusters and dynamic time model performs the best.