Capturing User Contexts: Dynamic Profiling for Information Seeking Tasks

Knowing each userpsilas information needs is important for information systems to better facilitate human information activities. This is especially important in the days of information overload we are experiencing today. However, knowing and correctly applying individual information needs is extremely difficult, often impossible. Yet knowing multiple contexts of user information behavior can give us some conception (or a hint) of conceivable information a user tries to obtain in a particular context. In this paper we focus on capturing such information contexts into dynamically changing profiles which are further used to facilitate the userpsilas information seeking activities.

[1]  Rajeev Motwani,et al.  Incremental clustering and dynamic information retrieval , 1997, STOC '97.

[2]  Qun Jin,et al.  Harnessing user contributions and dynamic profiling to better satisfy individual information search needs , 2008, Int. J. Web Grid Serv..

[3]  Jochen R. Moehr,et al.  Current Status of the Evaluation of Information Retrieval , 2003, Journal of Medical Systems.

[4]  Paul Solomon,et al.  Looking for Information—A Survey of Research on Information Seeking, Needs, and Behavior , 2003, Information Retrieval.

[5]  Hinrich Schütze,et al.  Personalized search , 2002, CACM.

[6]  Olivia R. Liu Sheng,et al.  Interest-based personalized search , 2007, TOIS.

[7]  Nikola Kasabov,et al.  Evolving Connectionist Systems: The Knowledge Engineering Approach , 2007 .

[8]  Takahiro Hara,et al.  Profile-based Query Routing in a Mobile Social Network , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[9]  ChengXiang Zhai,et al.  Mining long-term search history to improve search accuracy , 2006, KDD '06.

[10]  Alois Ferscha,et al.  Context-Aware Profiles , 2006, International Conference on Autonomic and Autonomous Systems (ICAS'06).

[11]  Peter Ingwersen,et al.  The Turn - Integration of Information Seeking and Retrieval in Context , 2005, The Kluwer International Series on Information Retrieval.