skip to main content
10.1145/1739268.1739274acmotherconferencesArticle/Chapter ViewAbstractPublication PagesubimobConference Proceedingsconference-collections
research-article

Vers la définition du contexte d'un utilisateur mobile de système de recherche d'information

Published: 07 July 2009 Publication History

Abstract

The mobile user differs from the desktop user in that his handheld device is truly personal. It roams with him and allows him access to information at any time from anywhere. Contextual information access in mobile environments aims to tackle the problem of information overload by providing appropriate results according to the resource constraints on the one hand and user's location, time and interests on the other hand. In this paper, we describe a general approach for building a context-aware user profile for a mobile user for search engines using evidence issued from retrieval situations. The basic idea is to learn the user's interests for each user's situation. A situation refers to an aggregation of the spatio-temporel context within his past search activities. User's interests are inferred from past search activities related to the identified situations.

References

[1]
Ala-Siuru, P., and Rantakokko, T. Understanding and recognizing usage situations using context data available in mobile phones. ubiPCMM06:2nd Inter. Workshop on Personalized Context Modeling and Management for UbiComp Applications.
[2]
August, K. G., Hansen, M. H. and Shriver, E. Mobile Web Searching. Bell Labs Technical Journal 6(2), 84--98, 2002.
[3]
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. CHI 2008 Proceedings on the Move, April 5--10, 2008, Florence, Italy.
[4]
Bila, N., Cao, J., Dinoff, R., Ho, T. K., Hull, R., Kumar, B., and Santos, P. Mobile user profile acquisition through network observables and explicit user queries. In proc of the 9th Inter. conf. on Mobile Data Management, pp. 98--107, 2008.
[5]
Budzik, J., Hammond, K. User interactions with every day applications as context for just-in-time information access, in Proc. of the 5th international conf. on intelligent user interfaces, pp. 44--51, 2000.
[6]
Challam, V., Gauch, S., Chandramouli, A. Contextual Search Using Ontology-Based User Profiles. In: Proc. of RIAO 2007.
[7]
Chen, H., Perich, F., Finin, T., Joshi, A. Soupa: Standard Ontology for Ubiquitous & Pervasive Applications, Int. Conf. on mobile & ubiquitous systems: networking and services, 2004.
[8]
Church, K., Smyth, B. Who, What, Where & When: A New Approach to Mobile Search. In proc. of the 13th international conference on Intelligent User Interfaces, 309--312, 2008.
[9]
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), ACM, p. 1031--1035, mars 2009.
[10]
Göker A., Myrhaug H. User context and personalization, in ECCBR workshop on Case Based Reasoning and Personalization, 2002.
[11]
Göker, A., Myrhaug, H. Evaluation of a mobile information system in context, Information Processing and Management 44(1), 39--65, 2008.
[12]
Gowan, J. M. A multiple model approach to personalised information access. In Master Thesis in computer science, University College Dublin, 2003.
[13]
Hattori S., Tezuka T., Tanaka K. Context-aware query refinement for mobile web search, Proc. of the 2007 International Symposium on Applications and the Internet Workshop, 2007.
[14]
Hupfer M., Detlor B. Gender and Web information seeking: A self-concept orientation model: Research Articles, JASIST 57(8), 1105--1115, 2006.
[15]
Ingwersen P., Jarvelin K. The Turn: Integration of information seeking and information retrieval in context, Springer, 2005.
[16]
Jansen B., Booth D., Spink A. Determining the User Intent of Web Search Engine Queries. Proc. of the 16th inter. conf. on World Wide Web, 1149--1150, 2007.
[17]
Kamvar, M., and Baluja, S. Deciphering trends in mobile search. Computer, 40(8):58--62, 2007.
[18]
Kamvar, M., and Baluja, S. The Role of Context in Query Input: Using contextual signals to complete queries on mobile devices. Mobile HCI 2007.
[19]
Kim K. Effects of emotion control and task on web seraching bihavior, Information processing and management 44(1), 373--385, 2008.
[20]
Pan, F. Representing complex temporal phenomena for the semantic web and natural language. Ph.D thesis, University of Southern California, Dec, 2007.
[21]
Panayiotou, C., and Samaras, G. Mobile User Personalization with Dynamic Profiles: Time and Activity. On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. LNCS 4278, pp. 1295--1304.2006.
[22]
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.
[23]
Schofield, E., and Kubin, G. On Interfaces for Mobile Information Retrieval, Mobile HCI 2002, LNCS 2411, pp. 383--387, 2002.
[24]
Shamber L. Relevance and information behavior, ARIST, William, M. E. Eds, p. 3--48, 1994.
[25]
Sieg, A., Mobasher, B. and Burke, R. User's information context: Integrating user profiles and concept hierarchies, in Proceedings of the 2004 Meeting of the International Federation of Classification Societies, number 1, pp. 28--40, 2004.
[26]
Smyth B., Balfe E. Anonymous personalization in collaborative web search, Information Rerieval 9(2), 165--190, 2006.
[27]
Sohn, T., Li, K. A., Griswold, W. G., and Hollan, J. D. A Diary Study of Mobile Information Needs. CHI 2008, April 5--10, 2008, Florence, Italy.
[28]
Sparck-Jones, K. Index Term Weighting, Information Storage and Retrieval, vol. 9, no. 11, pp. 619--633, 1973.
[29]
Sweeney, S., and Crestani, F. Effective search results summary size and device screen size: Is there a relationship? Information Processing and Management, 42(4): 1056--1074, 2006.
[30]
Tamine-Lechani L., Boughanem M., Daoud. Evaluation of contextual information retrieval effectiveness: Overview of Issues and Research, Knowledge and Information Systems Journal, to appear 2009.
[31]
Tamine, L., Boughanem M., Zemirli N. Personalized document ranking: Exploiting evidence from multiple user interests for profiling and retrieval, JDIM, 6(5), 2008.
[32]
Timothy M., Sherry C., Robert M., «Hypermedia learning and prior knowledge: domain expertise vs. system expertise», J. of Computer Assisted Learning 21(12), 53--64, 2005.
[33]
Tombros, A., Ruthven, I. and Jose, J. M. How users assess web pages for information seeking, JASIST, 56(4), 327--344, 2005.
[34]
Xie H. Users' evaluation of digital libraries (DLs): Their uses, their criteria, and their assessment, Information processing and management 44(3), 1346--1373, 2008.
[35]
Yau, S. S., Liu, H., Huang, D., and Yao, Y. Situation-aware personalized information retrieval for mobile internet. In Proc. of the 27th Annual International Computer Softwareand Applications Conference, (COMPSAC'03), pp. 638--645, 2003.

Index Terms

  1. Vers la définition du contexte d'un utilisateur mobile de système de recherche d'information

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Other conferences
        UbiMob '09: Proceedings of the 5th French-Speaking Conference on Mobility and Ubiquity Computing
        July 2009
        98 pages
        ISBN:9781605586229
        DOI:10.1145/1739268
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 07 July 2009

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. context-aware profile
        2. contextuel information retrieval
        3. location
        4. mobile user
        5. personalization
        6. situation
        7. time

        Qualifiers

        • Research-article

        Conference

        UbiMob'09

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • 0
          Total Citations
        • 136
          Total Downloads
        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0
        Reflects downloads up to 15 Feb 2025

        Other Metrics

        Citations

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Figures

        Tables

        Media

        Share

        Share

        Share this Publication link

        Share on social media