Siteseer: personalized navigation for the Web
Communications of the ACM
A personalized television listings service
Communications of the ACM
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contextual correlates of synonymy
Communications of the ACM
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
Content Description for Efficient Video Navigation, Browsing and Personalization
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
High Similarity Sequence Comparison in Clustering Large Sequence Databases
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Efficient Web Access to Distributed Biological Collections Using a Taxonomy Browser
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Intelligent Browsing for Multimedia Applications
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
Retrieval of images from artistic repositories using a decision fusion framework
IEEE Transactions on Image Processing
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Browsing large multimedia databases is becoming a challenging problem, due to the availability of great amounts of data and the complexity of retrieval. In this paper we propose a system that assists a user in browsing a digital collection making useful recommendations. The system combines computer vision techniques and taxonomic classifcations to measure the similarity between objects and adopts an innovative strategy to take into account user behavior.