Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Context-Aware SVM for Context-Dependent Information Recommendation
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Content-based music filtering system with editable user profile
Proceedings of the 2006 ACM symposium on Applied computing
A hybrid approach for movie recommendation
Multimedia Tools and Applications
Addressing cold-start problem in recommendation systems
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Evaluation of an ontology-content based filtering method for a personalized newspaper
Proceedings of the 2008 ACM conference on Recommender systems
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
IEEE Transactions on Services Computing
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
Proceedings of the third ACM conference on Recommender systems
Music Recommendation Using Content and Context Information Mining
IEEE Intelligent Systems
Content-based recommendation systems
The adaptive web
A multimedia recommender integrating object features and user behavior
Multimedia Tools and Applications
Modeling recommendation as a social choice problem
Proceedings of the fourth ACM conference on Recommender systems
Mining mood-specific movie similarity with matrix factorization for context-aware recommendation
Proceedings of the Workshop on Context-Aware Movie Recommendation
Recommender Systems Handbook
A Multimedia Semantic Recommender System for Cultural Heritage Applications
ICSC '11 Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing
Parameter-less co-clustering for star-structured heterogeneous data
Data Mining and Knowledge Discovery
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In this paper, we describe the project SNOPS, a smart-city environment based on Future Internet technologies. We focused on the context-aware recommendation services provided in the platform, which accommodates location dependent multimedia information with user's needs in a mobile environment related to an outdoor scenario within the Cultural Heritage domain. In particular, we describe a recommendation strategy for planning browsing activities exploiting objects features, users' behaviors and context information gathered by apposite sensor networks. Preliminary experimental results, related to user's satisfaction, have been carried out and discussed.