Abstract
Existing personalization systems base their services on user models that typically disregard the issue of context-awareness. This work focuses on developing mechanisms for cross-context reasoning, i.e., inferences linking user model data in two different contexts.That reasoning process can augment the typically sparse user models, by inferring the missing information from other contextual conditions, and can better support context-aware personalization. Thus, the proposed approach improves existing personalization systems and facilitates provision of more accurate context-aware personalized services
Original language | English |
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Title of host publication | Proceedings of the International Workshop on Decentralized and Ubiquitous User Modeling |
Subtitle of host publication | UBIDEUM 2007. 11th International Conference on User Modeling, UM 2007 |
Editors | Shlomo Berkovsky, Keith Cheverst, Peter Dolog, Dominik Heckmann, Tsvi Kuflik, Jerome Picault, Phivos Mylonas, Julita Vassileva |
Pages | 2-7 |
Number of pages | 6 |
Publication status | Published - 2007 |
Externally published | Yes |
Event | International Workshop on Decentralized and Ubiquitous User Modeling, UBIDEUM 2007 - Corfu, Greece Duration: 26 Jun 2007 → 26 Jun 2007 |
Conference
Conference | International Workshop on Decentralized and Ubiquitous User Modeling, UBIDEUM 2007 |
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Country/Territory | Greece |
City | Corfu |
Period | 26/06/07 → 26/06/07 |