Mobile recommendations for leisure activities

Details

Event International Workshop on Recommendation and Collaboration at IUI 2008

Authors

Bo Begole
Victoria Bellotti
Chi, Ed H.
Ducheneaut, Nicolas
Partridge, K
Technical Publications
January 13th 2008
We demonstrate a context-aware mobile system for recommending information about leisure activities (Shopping, Eating, Doing, Seeing, and Reading), codenamed Magitti, which infers the users leisure activity from context and patterns of behavior. Magitti filters a database of city-guide-style leisure information to find the most relevant items based on the users profile, history, context, and predicted activity. Users can also customize the profile or dynamically adjust the current preferences if they wish to improve the recommendations further.

Citation

Begole, J.; Bellotti, V.; Chi, E. H.; Ducheneaut, N.; Newman, M.; Partridge, K. Mobile recommendations for leisure activities. International Workshop on Recommendation and Collaboration at IUI 2008; 2008 January 13; Canary Islands, Spain.

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