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Context prediction approaches forecast future contexts based on known context patterns to adapt e.g., services in advance. In the case of the user's context history not providing suitable context information for the observed context pattern, to the best of our knowledge context prediction algorithms will fail to forecast the appropriate future context. To overcome the gap of missing context information...
Users want to access user generated content and recommendations in a contextualized way while on the move. In this paper we illustrate the POI radar service and its architecture, a mobile mashup of integrated location, social network and users' recommendations to provide contextualized notifications of nearby points of interest voted by user's contacts. A description of the service scenario, architecture...
Context has rarely been incorporated into recommender systems so far, but physical (e.g. a user's location) or social (e.g. the social network of a user) context can be useful sources for improving recommender systems. In this paper, we first discuss some principles for context-awareness in recommender systems. Then we present our hybrid recommender system for recommending applications to users of...
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