Social aspects of digital libraries (working session)
Proceedings of the first ACM international conference on Digital libraries
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Information Systems Research
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
The Journal of Machine Learning Research
Partitioning of Web graphs by community topology
WWW '05 Proceedings of the 14th international conference on World Wide Web
Toward the exploitation of social access patterns for recommendation
Proceedings of the 2007 ACM conference on Recommender systems
Introduction to Information Retrieval
Introduction to Information Retrieval
Domain-Based Recommendation and Retrieval of Relevant Materials in E-learning
IWSCA '08 Proceedings of the 2008 IEEE International Workshop on Semantic Computing and Applications
Analysis of participation in an online photo-sharing community: A multidimensional perspective
Journal of the American Society for Information Science and Technology
A flexible algorithm for sensor network partitioning and self-partitioning problems
ALGOSENSORS'06 Proceedings of the Second international conference on Algorithmic Aspects of Wireless Sensor Networks
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By analyzing the behavior of previous users, digital libraries can be made to provide new users with more support to find the best information. The AlgoViz Portal collects metadata on algorithm visualizations and associated research literature. We show how logs can be used to discover latent relationships between users, deducing an implicit social network. By clustering the log data, we find different page-viewing patterns, which provide practical information about the different groups of users.