Understanding and Using Context
Personal and Ubiquitous Computing
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Using Context Similarity for Service Recommendation
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
Matrix factorization techniques for context aware recommendation
Proceedings of the fifth ACM conference on Recommender systems
Interpersonal context-aware communication services
IEEE Communications Magazine
Context relevance assessment and exploitation in mobile recommender systems
Personal and Ubiquitous Computing
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The PhD research presented in this paper addresses some of the problems involved in creating a context-aware personalized service. Our main interest is in the steps of defining, detecting, acquiring and using real and relevant context of users. Our goals are to: collect and publish a context-rich movie recommender database, add theoretical requirements for contextual information in existing definitions of context, develop a methodology for relevant-context detection and inspect the impact of relevant and irrelevant context on the rating prediction using the matrix-factorization algorithm. This paper presents the work done so far and future plans with open issues.