Automatic text processing
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Fab: content-based, collaborative recommendation
Communications of the ACM
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Modern Information Retrieval
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
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
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
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)
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
A cognitive approach for agent-based personalized recommendation
Knowledge-Based Systems
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
An ontology-driven approach for semantic information retrieval on the Web
ACM Transactions on Internet Technology (TOIT)
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
IEEE Transactions on Services Computing
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Content-based recommendation systems
The adaptive web
Aggregating preference graphs for collaborative rating prediction
Proceedings of the fourth ACM conference on Recommender systems
On the stability of recommendation algorithms
Proceedings of the fourth ACM conference on Recommender systems
Top-N news recommendations in digital newspapers
Knowledge-Based Systems
Learning conditional preference network from noisy samples using hypothesis testing
Knowledge-Based Systems
Boosting the K-Nearest-Neighborhood based incremental collaborative filtering
Knowledge-Based Systems
A multimodal content-based approach for web pages analysis
International Journal of Knowledge Engineering and Data Mining
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In digital ecosystems, the possibility of discovering useful digital objects based on recommendation techniques is one of the most useful tasks that still remains to realize. In this realm, it seems really powerful to have both an a priori user profiling and an a posteriori knowledge, extracted from historical and current user behavior, thus recommender systems can be easily adapted to these environments. In this paper, we present a hybrid strategy that proposes customized recommendations using semantic contents and potentially low-level features of multimedia objects, past behavior of users in terms of usage patterns and user interests expressed by ontologies. We have implemented a prototype that supports our proposed recommendation strategy and a real use of our system based on a 3D interface is shown. Finally, some preliminary experimental results are presented and discussed.