Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
How to make a semantic web browser
Proceedings of the 13th international conference on World Wide Web
CS AKTive space: representing computer science in the semantic web
Proceedings of the 13th international conference on World Wide Web
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Fast and Memory Efficient Mining of Frequent Closed Itemsets
IEEE Transactions on Knowledge and Data Engineering
Piggy Bank: Experience the Semantic Web inside your web browser
Web Semantics: Science, Services and Agents on the World Wide Web
The two cultures: mashing up web 2.0 and the semantic web
Proceedings of the 16th international conference on World Wide Web
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Towards semantically-interlinked online communities
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Bayesian Neural Networks for Internet Traffic Classification
IEEE Transactions on Neural Networks
Personalized web feeds based on ontology technologies
Information Systems Frontiers
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Today the World Wide Web is undergoing a subtle but profound shift to Web 2.0 and Semantic Web technologies. Due to the increasing interest in the Semantic Web, more and more Semantic Web applications are being developed. One of the current main issues facing the development of Semantic Web applications is the simplicity and user-friendliness for the end users, especially for people with a non-IT background. This paper presents the FeedRank system for the extraction, aggregation, semantic management, and querying of Web feeds. The proposed system overcomes many of the limitations of conventional and passive Web feed readers such as: providing only simple presentations of what is received, poor integration of correlated data from different sources, and overwhelming the user with large traffic of feeds that are of no or low interest to them.