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Conference Paper Two-Step Recommendation Based Personalization for Future Services
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Authors
Ae Kyung Moon, Hyung Hwan Kim, Ki Soon Sung, Young Il Choi
Issue Date
2009-02
Citation
International Conference on Advanced Communication Technology (ICACT) 2009, pp.2268-2272
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
Personalization has a key role to play in making a ubiquitous computing system more usable to the end user. Our goal is to provide the end user with two-step personalization services. To do this, we propose the personalized situation model consisted of user behavior and user preferences models. The former is to set up a weighted list of usefol services according to user behavior patterns of current situation. The latter is to set up a weighted list of specific contents according to the service selected by a user. That is to say, two-step personalization services are consisted of service recommendation step and contents recommendation step. As a result, if user selected TV service among service categories to be recommended at the first step, it should match a user's desired TV programs and recommend TV programs with high user preference at the second step.
KSP Keywords
Behavior pattern, Current situation, End users, Key role, Second step, Service Recommendation, Set up, TV program, Two-Step, Ubiquitous computing, User Behavior