Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Collaborative filtering recommender systems
The adaptive web
Content-based recommendation systems
The adaptive web
Hybrid web recommender systems
The adaptive web
Extracting and exploiting topics of interests from social tagging systems
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Improving collaborative filtering in social tagging systems
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
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Current publication sharing systems weakly support creation and personalization of customized user concept spaces. Focusing the attention on the user, SharingPapers, the adaptive publication sharing system proposed in this paper, allows users to organize documents in flexible and dynamic concept spaces; to merge their concept map with a social network connecting people involved in the domain of interest; to support knowledge expansion generating adaptive recommendations. SharingPapers presents a multi-agent architecture and proposes a new way of representing user profiles, their evolution and views of them.