GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PHOAKS: a system for sharing recommendations
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Targeted E-commerce Marketing Using Fuzzy Intelligent Agents
IEEE Intelligent Systems
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Adaptive evolutionary information systems
Intelligent Student Profiling with Fuzzy Models
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Introduction to e-Commerce
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
Adaptive Algorithms for Interactive Multimedia
IEEE MultiMedia
The Electronic Road: Personalized Content Browsing
IEEE MultiMedia
Collaborative filtering with the simple Bayesian classifier
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Optimizing customer's selection for configurable product in B2C e-commerce application
Computers in Industry
A recommender system framework combining neural networks & collaborative filtering
IMCAS'06 Proceedings of the 5th WSEAS international conference on Instrumentation, measurement, circuits and systems
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This paper aims at demonstrating the validity of a hybrid content-based clustering architecture that combines personalisation techniques. The paper describes a hybrid content-based clustering architecture for adaptive web-sites using an advanced personalisation process, emphasising in personalising multimedia content. The overall personalisation process is described following all stages and the experimental results and statistical analysis presented indicate that this architecture achieves more successful recommendations, thus reduces uncertainty of recommendations. Finally, this paper suggests the enhancement of the current hybrid filtering process by employing fuzzy logic for improving the profiling system and user modelling, therefore reducing the uncertainty level even further.