Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bilenko, M., White, R.W.: Mining the Search Trails of Surfing Crowds: Identifying Relevant Websites From User Activity. In: Proceedings of the 17th International Conference on World Wide Web, pp. 51–60. ACM, New York (2008)
Carpineto, C., Romano, G.: Exploiting the Potential of Concept Lattices for Information Retrieval with CREDO. Journal of Universal Computer Science 10(8), 985–1013 (2004)
Jansen, B., Spink, A., Saracevic, T.: Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing and Management 36(2), 207–227 (2000)
Jardine, N., van Rijsbergen, C.J.: The use of hierarchic clustering in information retrieval. Information Storage and Retrieval 7, 217–240 (1971)
Kruschwitz, U.: An Adaptable Search System for Collections of Partially Structured Documents. IEEE Intelligent Systems 18(4), 44–52 (2003)
Lungley, D.: Automatically Adapting the Context of an Intranet Query. In: Proceedings of the 2nd BCS IRSG Symposium on Future Directions in Information Access, pp. 22–29 (2008)
Melucci, M., White, R.W.: Utilizing a geometry of context for enhanced implicit feedback. In: Proceedings of the Conference on Information and Knowledge Management, pp. 273–282. ACM, New York (2007)
Poblete, B., Baeza-Yates, R.: Query-Sets: Using Implicit Feedback and Query Patterns to Organize Web Documents. In: Proceedings of the 17th international conference on World Wide Web, pp. 41–50. ACM, New York (2008)
Radlinski, F., Joachims, T.: Query Chains: learning to rank from implicit feedback. In: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, Chicago, Illinois, USA, pp. 239–248. ACM, New York (2005)
Rocchio, J.J.: The SMART Retrieval System: Experiments in Automatic Indexing. In: Relevance Feedback in Information Retrieval. Prentice Hall, Englewood Cliffs (1971)
Sanderson, M., Croft, B.: Deriving concept hierarchies from text. In: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 206–213. ACM, New York (1999)
Wang, X., Zhai, C.: Learn from Web Search Logs to Organize Search Results. In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 87–94. ACM, New York (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lungley, D., Kruschwitz, U. (2009). Automatically Maintained Domain Knowledge: Initial Findings. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_77
Download citation
DOI: https://doi.org/10.1007/978-3-642-00958-7_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00957-0
Online ISBN: 978-3-642-00958-7
eBook Packages: Computer ScienceComputer Science (R0)