Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
An Adaptable Search System for Collections of Partially Structured Documents
IEEE Intelligent Systems
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learn from web search logs to organize search results
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Utilizing a geometry of context for enhanced implicit feedback
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Query-sets: using implicit feedback and query patterns to organize web documents
Proceedings of the 17th international conference on World Wide Web
Mining the search trails of surfing crowds: identifying relevant websites from user activity
Proceedings of the 17th international conference on World Wide Web
Automatically adapting the context of an intranet query
FDIA'08 Proceedings of the 2nd BCS IRSG conference on Future Directions in Information Access
Moving towards adaptive search in digital libraries
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
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This paper explores the use of implicit user feedback in adapting the underlying domain model of an intranet search system. The domain model, a Formal Concept Analysis (FCA) lattice, is used as an interactive interface to allow user exploration of the context of an intranet query. Implicit user feedback is harnessed here to surmount the difficulty of achieving optimum document descriptors, essential for a browsable lattice. We present the results of a first user study of query refinements proposed by our adapted lattice.