Proceedings of the 11th international conference on World Wide Web
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Efficient Hybrid Web Recommendations Based on Markov Clickstream Models and Implicit Search
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Search personalization through query and page topical analysis
User Modeling and User-Adapted Interaction
Intentional query suggestion: making user goals more explicit during search
Proceedings of the 2009 workshop on Web Search Click Data
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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Web searches are driven by information needs and intend the accomplishment of specific tasks. Information needs are determined by the topical subject of queries, i.e. what we search, while tasks are determined by the user motives that induce the submission of queries, i.e. why we search. Though there exist numerous studies on how to assist searchers specify queries that are expressive of their underlying information needs, little has been done to help searchers specify queries that describe the tasks they pursue via their searches. In this paper we propose a query reformulation method to empower task-oriented web searches. Given a query, our method starts with the identification of terms that could serve as descriptors of the potential search tasks the query represents. Based on the identified terms, it generates query re-formulations that explicitly verbalize the possible search tasks. Query reformulations are presented to the user in order to select the one that best suits her search intention.