Modeling task-genre relationships for IR in the workplace
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A Bayesian approach for learning document type relevance
ECIR'07 Proceedings of the 29th European conference on IR research
Effective Keyword Search for Software Resources Installed in Large-Scale Grid Infrastructures
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Minersoft: Software retrieval in grid and cloud computing infrastructures
ACM Transactions on Internet Technology (TOIT)
Automatic genre identification: towards a flexible classification scheme
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
Testing a genre-enabled application: a preliminary assessment
FDIA'08 Proceedings of the 2nd BCS IRSG conference on Future Directions in Information Access
International Journal of Information Management: The Journal for Information Professionals
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Professionals in the workplace need high-precision search tools capable of retrieving information that is useful and appropriate to the task at hand. One approach to identifying content, which is not only relevant but also useful, is to make use of the task context of the search. We present X-Site, an enterprise search engine for the software engineering domain that exploits relationships between user's tasks and document genres in the collection to improve retrieval precision.