ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
A field study characterizing Web-based information-seeking tasks
Journal of the American Society for Information Science and Technology
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Search behavior of media professionals at an audiovisual archive: A transaction log analysis
Journal of the American Society for Information Science and Technology
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
People searching for people: analysis of a people search engine log
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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We propose and motivate a scheme for classifying queries submitted to a people search engine. We specify a number of features for automatically classifying people queries into the proposed classes and examine the effectiveness of these features. Our main finding is that classification is feasible and that using information from past searches, clickouts and news sources is important.