GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Exploiting learning techniques for the acquisition of user stereotypes and communities
UM '99 Proceedings of the seventh international conference on User modeling
Personalized Services for Digital Library
ICADL '02 Proceedings of the 5th International Conference on Asian Digital Libraries: Digital Libraries: People, Knowledge, and Technology
A Personalized Collaborative Digital Library Environment
ICADL '02 Proceedings of the 5th International Conference on Asian Digital Libraries: Digital Libraries: People, Knowledge, and Technology
DEBORA: Developing an Interface to Support Collaboration in a Digital Library
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
An XML Log Standard and Tool for Digital Library Logging Analysis
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Enhancing usability in CITIDEL: multimodal, multilingual, and interactive visualization interfaces
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Interest-Based Peer-to-Peer Group Management
FMN '09 Proceedings of the 2nd International Workshop on Future Multimedia Networking
Modeling of User Interest Based on Its Interaction with a Collaborative Knowledge Management System
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Supporting document triage via annotation-based multi-application visualizations
Proceedings of the 10th annual joint conference on Digital libraries
Effectiveness of implicit rating data on characterizing users in complex information systems
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Discovery of Web user communities and their role in personalization
User Modeling and User-Adapted Interaction
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Research in recommender systems focuses on applications such as in online shopping malls and simple information systems. These systems consider user profile and item information obtained from data explicitly entered by users. – where it is possible to classify items involved and to make recommendations based on a direct mapping from user or user group to item or item group. However, in complex, dynamic, and professional information systems, such as Digital Libraries, additional capabilities are needed for recommender systems to support their distinctive features: large numbers of digital objects, dynamic updates, sparse rating data, biased rating data on specific items, and challenges in getting explicit rating data from users. In this paper, we present an interest-based user grouping model for a collaborative recommender system for Digital Libraries. Also, we present several user interfaces that obtain implicit user rating data. Our model uses a high performance document clustering algorithm, LINGO, to extract document topics and user interests from documents users access in a Digital Library. This model is better suited to Digital Libraries than traditional recommender systems because it focuses more on users than items and because it utilizes implicit rating data.