Improving retrieval performance by relevance feedback
Readings in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th 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
IEEE Transactions on Knowledge and Data Engineering
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
How are we searching the world wide web?: a comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Multitasking during web search sessions
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Learning about the world through long-term query logs
ACM Transactions on the Web (TWEB)
Personalized Concept-Based Clustering of Search Engine Queries
IEEE Transactions on Knowledge and Data Engineering
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
(Query) History Teaches Everything, Including the Future
LA-WEB '08 Proceedings of the 2008 Latin American Web Conference
Query clustering using click-through graph
Proceedings of the 18th international conference on World wide web
Search shortcuts: driving users towards their goals
Proceedings of the 18th international conference on World wide web
Web Query Recommendation via Sequential Query Prediction
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Using wiktionary for computing semantic relatedness
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
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Nowadays, people have been increasingly interested in exploiting Web Search Engines (WSEs) not only for having access to simple Web pages, but mainly for accomplishing even complex activities, namely Web-mediated processes (or taskflows). Thus, users' information needs will become more complex, and Web search and recommender systems should change accordingly for dealing with this shift. We claim that such taskflows and their composing tasks are implicitly present in users' minds when they interact with a WSE to access the Web. Our first research challenge is thus to evaluate this belief by analyzing a very large, long-term log of queries submitted to a WSE, and associating meaningful semantic labels with the extracted tasks (i.e., clusters of related queries) and taskflows. This large knowledge base constitutes a good starting point for building a model of users' behaviors. The second research challenge is to devise a novel recommender system that goes beyond the simple query suggestion of modern WSEs. Our system has to exploit the knowledge base of Web-mediated processes and the learned model of users' behaviors, to generate complex insights and task-based suggestions to incoming users while they interact with a WSE.