Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
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
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
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
Story creation from heterogeneous data sources
Multimedia Tools and Applications
A multi-criteria content-based filtering system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Generating semantically enriched user profiles for Web personalization
ACM Transactions on Internet Technology (TOIT)
Applying collaborative filtering techniques to movie search for better ranking and browsing
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Unified relevance models for rating prediction in collaborative filtering
ACM Transactions on Information Systems (TOIS)
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Evaluation of an ontology-content based filtering method for a personalized newspaper
Proceedings of the 2008 ACM conference on Recommender systems
A recommendation system for browsing digital libraries
Proceedings of the 2009 ACM symposium on Applied Computing
Content-based recommendation systems
The adaptive web
IEEE Transactions on Multimedia
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
A ranking method for multimedia recommenders
Proceedings of the ACM International Conference on Image and Video Retrieval
Multimedia Tools and Applications
SNOPS: a smart environment for cultural heritage applications
Proceedings of the twelfth international workshop on Web information and data management
International Journal of Multimedia Data Engineering & Management
A Multimedia Recommender System
ACM Transactions on Internet Technology (TOIT)
Modeling and broadening temporal user interest in personalized news recommendation
Expert Systems with Applications: An International Journal
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Despite the great amount of work done in the last decade, retrieving information of interest from a large multimedia repository still remains an open issue. In this paper, we propose an intelligent browsing system based on a novel recommendation paradigm. Our approach combines usage patters with low-level features and semantic descriptors in order to predict users' behavior and provide effective recommendations. The proposed paradigm is very general and can be applied to any type of multimedia data. In order to make the recommender system even more flexible, we introduce the concept of multichannel browser, i.e. a browser that allows concurrent browsing of multiple media channels. We implemented a prototype of the proposed system and tested the effectiveness of our approach in a virtual museum scenario. Experimental results have proved that the system greatly enhances users' experience, thus encouraging further research in this direction.