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Interactive intent modeling: information discovery beyond search

Published:23 December 2014Publication History
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Abstract

The system should let users incrementally direct their search toward relevant, though not initially obvious, information.

References

  1. Ahn, J.-W. and Brusilovsky, P. Adaptive visualization for exploratory information retrieval. Information Processing & Management 49, 5 (Sept. 2013), 1139--1164. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ajanki, A., Billinghurst, M., Gamper, H., Järvenpää, T., Kandemir, M., Kaski, S., Koskela, M., Kurimo, M., Laaksonen, J., Puolamäki, K., Ruokolainen, T., and Tossavainen, T. An augmented reality interface to contextual information. Virtual Reality 15, 2-3 (June 2011), 161--173. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Anderson, J.R. Learning and Memory: An Integrated Approach, First Edition. John Wiley & Sons, New York, 2000.Google ScholarGoogle Scholar
  4. Arapakis, I., Athanasakos, K., and Jose, J.M. A comparison of general vs. personalised affective models for the prediction of topical relevance. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (Geneva, Switzerland, July 19--23). ACM Press, New York, 2010, 371--378. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Auer, P. Using confidence bounds for exploitation-exploration trade-offs. Journal of Machine Learning Research 3 (Mar. 2003), 397--422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Avons, S., Wright, K., and Pammer, K. The word-length effect in probed and serial recall. The Quarterly Journal of Experimental Psychology 47, 1 (1994), 207--231.Google ScholarGoogle ScholarCross RefCross Ref
  7. Bates, M.J. Subject access in online catalogs: A design model. Journal of the American Society for Information Science 37, 6 (Nov. 1986), 357--376.Google ScholarGoogle ScholarCross RefCross Ref
  8. Bates, M.J. Indexing and access for digital libraries and the Internet: Human, database, and domain factors. Journal of the American Society for Information Science 49, 13 (1998), 1185--1205. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Belkin, N.J., Oddy, R.N., and Brooks, H.M. Ask for information retrieval: Part I: Background and theory. In Readings in Information Retrieval. Morgan Kaufmann Publishers Inc., San Francisco, CA, 1997, 299--304. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Chau, D.H., Kittur, A., Hong, J.I., and Faloutsos, C. Apolo: Making sense of large network data by combining rich user interaction and machine learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vancouver, BC, Canada, May 7--12). ACM Press, New York, 2011, 167--176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Eugster, M.J.A., Ruotsalo, T., Spapé, M.M., Kosunen, I., Barral, O., Ravaja, N., Jacucci, G., and Kaski, S. Predicting term-relevance from brain signals. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Gold Coast, Queensland, Australia, July 6--11). ACM Press, New York, 2014, 425--434. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Fu, W.-T. and Gray, W.D. Resolving the paradox of the active user: Stable suboptimal performance in interactive tasks. Cognitive Science 28, 6 (Nov. 2004), 901--935.Google ScholarGoogle ScholarCross RefCross Ref
  13. Furnas, G.W., Landauer, T.K., Gomez, L.M., and Dumais, S.T. The vocabulary problem in human-system communication. Commun. ACM 30, 11 (Nov. 1987), 964--971. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Glowacka, D., Ruotsalo, T., Konuyshkova, K., Athukorala, K., Kaski, S., and Jacucci, G. Directing exploratory search: Reinforcement learning from user interactions with keywords. In Proceedings of the 2013 International Conference on Intelligent User Interfaces (Santa Monica, CA, Mar. 19--22). ACM, Press, New York, 2013, 117--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Hearst, M.A. Tilebars: Visualization of term distribution information in full text information access. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Denver, CO, May 7--11). ACM Press/Addison-Wesley Publishing Co., New York, 1995, 59--66. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Hearst, M.A. and Pedersen, J.O. Reexamining the cluster hypothesis: Scatter/gather on retrieval results. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Zurich, Switzerland, Aug. 18--22). ACM Press, New York, 1996, 76--84. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Lehmann, S., Schwanecke, U., and Dörner, R. Interactive visualization for opportunistic exploration of large document collections. Information Systems 35, 2 (Apr. 2010), 260--269. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Marchionini, G. Exploratory search: From finding to understanding. Commun. ACM 49, 4 (Apr. 2006), 41--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Moshfeghi, Y. and Jose, J.M. An effective implicit relevance feedback technique using affective, physiological and behavioural features. In Proceedings of the 36th International ACM Conference on Research and Development in Information Retrieval (Dublin, Ireland, July 28--Aug. 1). ACM Press, New York, 2013, 133--142. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Ruotsalo, T., Peltonen, J., Eugster, M., Glowacka, D., Konyushkova, K., Athukorala, K., Kosunen, I., Reijonen, A., Myllymäki, P., Jacucci, G., and Kaski, S. Directing exploratory search with interactive intent modeling. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management (San Francisco, CA, Oct. 27--Nov. 1). ACM Press, New York, 2013, 1759--1764. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Saracevic, T., Kantor, P., Chamis, A. Y., and Trivison, D. A study of information seeking and retrieving. I. Background and methodology. Journal of the American Society for Information Science 39, 3 (May 1988), 161--176.Google ScholarGoogle Scholar
  22. Strack, F. and Mussweiler, T. Explaining the enigmatic anchoring effect: Mechanisms of selective accessibility. Journal of Personality and Social Psychology 73, 3 (Sept. 1997), 437--446.Google ScholarGoogle ScholarCross RefCross Ref
  23. Wilson, M.L., Kules, B., Schraefel, M.C., and Shneiderman, B. From keyword search to exploration: Designing future search interfaces for the Web. Foundations and Trends in Web Science 2, 1 (Jan. 2010), 1--97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Yee, K.-P., Swearingen, K., Li, K., and Hearst, M. Faceted metadata for image search and browsing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Ft. Lauderdale, FL, Apr. 5--10). ACM Press, New York, 2003, 401--408. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Zhao, L. and Callan, J. Term necessity prediction. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (Toronto, Canada, Oct. 26--30). ACM Press, New York, 2010, 259--268. Google ScholarGoogle ScholarDigital LibraryDigital Library

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                • Published in

                  cover image Communications of the ACM
                  Communications of the ACM  Volume 58, Issue 1
                  January 2015
                  105 pages
                  ISSN:0001-0782
                  EISSN:1557-7317
                  DOI:10.1145/2688498
                  • Editor:
                  • Moshe Y. Vardi
                  Issue’s Table of Contents

                  Copyright © 2014 Owner/Author

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                  • Published: 23 December 2014

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