Abstract
We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically satisfies his interests according to his situation, we tackle the problem of information overload. To build situation-aware user profile we rely on evidence issued from retrieval situations. A retrieval situation refers to the spatio-temporal context of the user when submitting a query to the search engine. A situation is represented as a combination of geographical and temporal concepts inferred from concrete time and location information by some ontological knowledge. User’s interests are inferred from past search activities related to the identified situations. They are represented using concepts issued from a thematic ontology. We also involve a method to maintain the user’s interests over his ongoing search activity and to personalize the search results.
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References
Kamvar, M., Baluja, S.: Deciphering trends in mobile search. Computer 40(8) (2007)
Sohn, T., Li, K.A., Griswold, W.G., Hollan, J.D.: A Diary Study of Mobile Information Needs. In: CHI 2008, Florence, Italy (April 5-10, 2008)
Bierig, R., Goker, A.: Time, location and interest: an empirical and user-centred study, vol. IIiX, pp. 79–87 (2006)
Goker, A., Myrhaug, H.I.: Evaluation of a mobile information system in context. Inf. Process. Manage. 44(1), 39–65 (2008)
Schofield, E., Kubin, G.: On Interfaces for Mobile Information Retrieval. In: Paternó, F. (ed.) Mobile HCI 2002. LNCS, vol. 2411, pp. 383–387. Springer, Heidelberg (2002)
Kamvar, M., Baluja, S.: The Role of Context in Query Input: Using contextual signals to complete queries on mobile devices. Mobile HCI, Human Computer Interaction with Mobile Devices and Services (2007)
August, K.G., Hansen, M.H., Shriver, E.: Mobile Web Searching. Bell Labs Technical Journal 6(2) (2002); Lucent Technologies Inc., published by Wiley Periodicals Inc.
Sweeney, S., Crestani, F.: Effective search results summary size and device screen size: Is there a relationship? Information Processing and Management 42(4) (2006)
Varma, V., Sriharsha, N., Pingali, P.: Personalized web search engine for mobile devices. In: Int’l Workshop on Intelligent Information Access, IIIA 2006 (2006)
Samaras, G., Panayiotou, C.: Personalized portals for the wireless user based on mobile agents. In: Proc. 2nd Int’l workshop on Mobile Commerce, pp. 70–74 (2002)
Yau, S.S., Liu, H., Huang, D., Yao, Y.: Situation-aware personalized information retrieval for mobile Internet. In: Proc. of the 27th Annual International Computer Softwareand Applications Conference (COMPSAC 2003), pp. 638–645 (November 2003)
Panayiotou, C., Samaras, G.: Mobile User Personalization with Dynamic Profiles: Time and Activity. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops. LNCS, vol. 4278, pp. 1295–1304. Springer, Heidelberg (2006)
Daoud, M., Tamine, L., Boughanem, M., Chebaro, B.: A Session Based Personalized Search Using An Ontological User Profile. In: ACM Symposium on Applied Computing (SAC 2009), pp. 1031–1035. ACM, New York (2009)
Anderson, C.R., Domingos, P., Weld, D.S.: Personalizing Web Sites for Mobile Users. In: Proc. 10th Int’l conf. on World Wide Web, Hong Kong, pp. 565–575 (2001)
Ala-Siuru, P., Rantakokko, T.: Understanding and recognizing usage situations using context data available in mobile phones. In: ubiPCMM 2006: 2nd Int’l Workshop on Personalized Context Modeling and Management for UbiComp Applications (2006)
Bila, N., Cao, J., Dinoff, R., Ho, T.K., Hull, R., Kumar, B., Santos, P.: Mobile User Profile Acquisition Through Network Observables and Explicit User Queries. In: proc. of the 9th Int’l conference on Mobile Data Management, pp. 98–107 (2008)
Bellotti, V., Begole, B., Chi, E.H., Ducheneaut, N., Fang, J., Isaacs, E., King, T., Newman, M.W., Partridge, K., Price, B., Rasmussen, P., Roberts, M., Schiano, D.J., Walendowski, A.: Activity-Based Serendipitous Recommendations with the Magitti Mobile Leisure Guide. In: CHI 2008 Proceedings on the Move (2008)
Heckmann, D.: Ubiquitous User Modeling. Ph.D thesis, Saarland University (2005)
Park, T.: Toward a theory of user-based relevance: A call for a new paradigm of inquiry. J. Am. Soc. Inf. Sci. 45(3), 135–141 (1994)
Dobson, S.: Leveraging the subtleties of location. In: Proc. of Smart Objects and Ambient Intelligence, pp. 189-193 (2005)
Pan, F.: Representing complex temporal phenomena for the semantic web and natural language. Ph.D thesis, University of Southern California (December 2007)
Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1) (1994)
Wu, Z., Palmer, M.: Verb Semantics and Lexical Selection. In: Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics (1994)
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Bouidghaghen, O., Tamine-Lechani, L., Boughanem, M. (2009). Dynamically Personalizing Search Results for Mobile Users. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2009. Lecture Notes in Computer Science(), vol 5822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04957-6_9
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DOI: https://doi.org/10.1007/978-3-642-04957-6_9
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