Communications of the ACM
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Proceedings of the thirteenth ACM international conference on Information and knowledge management
IEEE Transactions on Knowledge and Data Engineering
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Content-based music filtering system with editable user profile
Proceedings of the 2006 ACM symposium on Applied computing
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
Generating semantically enriched user profiles for Web personalization
ACM Transactions on Internet Technology (TOIT)
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
Trust-based recommendation systems: an axiomatic approach
Proceedings of the 17th international conference on World Wide Web
Intelligent Multimedia Recommender by Integrating Annotation and Association Mining
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
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
Axiomatic foundations for ranking systems
Journal of Artificial Intelligence Research
Content-based recommendation systems
The adaptive web
A multimedia recommender integrating object features and user behavior
Multimedia Tools and Applications
A recommendation strategy based on user behavior in digital ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
SmartTransfer: transferring your mobile multimedia contents at the "right" time
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
A Multimedia Recommender System
ACM Transactions on Internet Technology (TOIT)
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In the last few years, recommender systems have gained significant attention in the research community, due to the increasing availability of huge data collections, such as news archives, shopping catalogs, or virtual museums. In this scenario, there is a pressing need for applications to provide users with targeted suggestions to help them navigate this ocean of information. However, no much effort has yet been devoted to recommenders in the field of multimedia databases. In this paper, we propose a novel approach to recommendation in multimedia browsing systems, based on an importance ranking method that strongly resembles the well known PageRank ranking system. We model recommendation as a social choice problem, and propose a method that computes customized recommendations by originally combing intrinsic features of multimedia objects, past behavior of individual users and overall behavior of the entire community of users. We implemented a prototype of the proposed system and preliminary experiments have shown that our approach is promising.