abstract
There is a growing realization that context can constrain Information Retrieval thereby reducing the complexity of a retrieval system. At this aim, a system has to retrieve documents by considering time, place, interaction, task, and many other factors that are implicit in the user environment. Instead of resorting to heuristics, a principled approach to Information Retrieval in Context may help understand how to design these systems. In this chapter, a principled approach to context-aware navigation and retrieval is presented
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References
Belkin, N., Callan, J.: Context-based information access. In: Report of the Discussion Group on Context-Based Information Access of the Workshop on “Information Retrieval and Databases: Synergies and Syntheses”. National Science Foundation, Washington, D.C., USA (2003). http://www2.cs.washington.edu/nsf2003/discussionGroups.html
Belkin, N., Oddy, R., Brooks, H.: ASK for Information Retrieval: Part I. Background and Theory. Journal of Documentation 38(2), 61–71 (1982)
Deerwester, S., Dumais, S., Furnas, G., Landauer, T., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41(6), 391–407 (1990)
Dubin, D.: The most influential paper Gerard Salton never wrote. Library Trends 52(4), 748–764 (2004)
Ingwersen, P.: Information Retrieval Interaction. Taylor Graham, London (1992)
Melucci, M.: Context modeling and discovery using vector space bases. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), pp. 808–815. ACM Press, Bremen, Germany (2005)
Melucci, M.: Ranking in context using vector spaces. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), pp. 477–478. ACM Press, Arlington, VA, USA (2006)
Melucci, M.: Exploring a mechanics for context-aware information retrieval. In: Proceedings of the AAAI Spring Symposium on Quantum Interaction. AAAI Press, Stanford, CA, USA (2007)
Melucci, M., White, R.: Discovering hidden contextual factors for implicit feedback. In: Proceedings of the Second Workshop on Context-based Information Retrieval. CEUR, Roskilde, Denmark (2007). Forthcoming
Melucci, M., White, R.: Utilizing a geometry of context for enhanced implicit feedback. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM). ACM Press, Lisbon, Portugal (2007). Forthcoming
van Rijsbergen, C.: Information Retrieval, second edn. Butterworths, London (1979)
Rocchio, J.: The SMART Retrieval System. Prentice Hall, Englewood Cliffs, N.J., USA (1971)
Salton, G.: Mathematics and information retrieval. Journal of Documentation 35(1), 1–29 (1979)
Salton, G.: Automatic Text Processing. Addison-Wesley (1989)
Salton, G., Wong, A., Yang, C.: A vector space model for automatic indexing. Communications of the ACM 18(11), 613–620 (1975)
van Rijsbergen, C.: The Geometry of Information Retrieval. Cambridge University Press, UK (2004)
White, R., Ruthven, I., Jose, J., van Rijsbergen, C.: Evaluating implicit feedback models using searcher simulations. ACM Transactions on Information Systems 23(3), 325–361 (2005)
Wong, S., Raghavan, V.: Vector space model of information retrieval – a reevaluation. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp. 167–185. Cambridge, England (1984)
Zigoris, P., Zhang, Y.: Bayesian adaptive user profiling with explicit and implicit feedback. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), pp. 397–404 (2006)
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Melucci, M. (2008). Modeling Retrieval and Navigation in Context. In: Agosti, M. (eds) Information Access through Search Engines and Digital Libraries. The Information Retrieval Series, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75134-2_3
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DOI: https://doi.org/10.1007/978-3-540-75134-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75133-5
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