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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