Providing context-aware personalization through cross-context reasoning of user modeling data

S. Berkovsky, L.M. Aroyo, D. Heckmann, G.J.P.M. Houben, A. Kroner, T. Kuflik, F. Ricci

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic


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 languageEnglish
Title of host publicationProceedings of the International Workshop on Ubiquitous and Decentralized User Modeling (UBIDEUM 2007), (workshop at UM 2007, 11th International Conference on User Modeling), June 26, 2007, Corfu, Greece
EditorsS. Berkovsky, xx et al.
PublisherUser Modeling Incorporated
Publication statusPublished - 2007

Fingerprint Dive into the research topics of 'Providing context-aware personalization through cross-context reasoning of user modeling data'. Together they form a unique fingerprint.

Cite this