Fab: content-based, collaborative recommendation
Communications of the ACM
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
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Machine Learning
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Distributed Systems for Group Adaptivity on the Web
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Automated Collaborative Filtering Applications for Online Recruitment Services
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
WAP ing the Web: Content Personalisation for WAP-Enabled Devices
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
METIORE: A Personalized Information Retrieval System
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Evaluating adaptive user profiles for news classification
Proceedings of the 9th international conference on Intelligent user interfaces
Embedding information retrieval in adaptive hypermedia: IR meets AHA!
Hypermedia - Special issue: Adaptive hypermedia in the age of the adaptive web
Dealing with semantic heterogeneity for improving web usage
Data & Knowledge Engineering - Special issue: ER 2004
An XML-based agent model for supporting user activities on the Web
Web Intelligence and Agent Systems
Web Information Retrieval Support Systems: The Future of Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Visualizing a user model for educational adaptive information retrieval
UM'03 Proceedings of the 9th international conference on User modeling
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The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems in obtaining the information that they really need. In order to help users in this task of finding relevant information, recommending systems were proposed. They give advice using two methods: the content-based method that extracts information from the already evaluated documents by the user in order to obtain new related documents; the collaborative method that recommends documents to the user based on the evaluation by users with similar information needs. In this paper we analyze some existing Web recommending systems and identify some problems which we try to solve in our system METIOREW.