Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
User Modeling and User-Adapted Interaction
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
Ubiquitous user modeling in recommender systems
UM'05 Proceedings of the 10th international conference on User Modeling
Distributed collaborative filtering with domain specialization
Proceedings of the 2007 ACM conference on Recommender systems
Domain ranking for cross domain collaborative filtering
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
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Providing accurate personalized information services to the users requires knowing their interests and needs, as defined by their User Models (UMs). Since the quality of the personalization depends on the richness of the UMs, services would benefit from enriching their UMs through importing and aggregating partial UMs built by other services from relatively similar domains. The obvious question is how to determine the similarity of domains? This paper proposes to compute inter-domain similarities by exploiting well-known Information Retrieval techniques for comparing textual contents of the Web-sites, classified under the domain nodes in Web-directories. Initial experiments validate feasibility of the proposed approach and raise open research questions.