Title :
Situation-aware personalized information retrieval for mobile Internet
Author :
Yau, Stephen S. ; Liu, Huan ; Huang, Dazhi ; Yao, Yisheng
Author_Institution :
Dept. of Comput. Sci. & Eng., Arizona State Univ., Temple, AZ, USA
Abstract :
Recent rapid advances in Internet-based information systems and handheld devices make it possible for users to retrieve information anytime and anywhere. Existing information retrieval (IR) techniques usually require the users to spend much effort to continuously refine their queries to obtain the results they want. Since each refinement is an interaction between a user and information systems, the larger the number of interactions, the more communication overhead and energy consumption are introduced. Due to the severe resource constraints of handheld devices, it is necessary to have an IR technique that can efficiently retrieve information for the user with only one or two interactions. In this paper, an efficient IR technique for mobile Internet by combining situation-based adaptation and profile-based personalization is presented.
Keywords :
Internet; information needs; information retrieval; mobile computing; Internet-based information systems; communication overhead; energy consumption; handheld devices; mobile Internet; profile-based personalization; resource constraints; situation-aware personalized information retrieval; situation-based adaptation; Application software; Computer applications; Information retrieval; Internet; Mobile computing;
Conference_Titel :
Computer Software and Applications Conference, 2003. COMPSAC 2003. Proceedings. 27th Annual International
Print_ISBN :
0-7695-2020-0
DOI :
10.1109/CMPSAC.2003.1245409