SWAMI (poster session): a framework for collaborative filtering algorithm development and evaluation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Intelligent Sales Support with CBR
Case-Based Reasoning Technology, From Foundations to Applications
Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Understanding and improving automated collaborative filtering systems
Understanding and improving automated collaborative filtering systems
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Constraint-based recommender systems: technologies and research issues
Proceedings of the 10th international conference on Electronic commerce
An Analysis of Bloggers, Topics and Tags for a Blog Recommender System
From Web to Social Web: Discovering and Deploying User and Content Profiles
Prototyping recommender systems in jcolibri
Proceedings of the 2008 ACM conference on Recommender systems
An online blog reading system by topic clustering and personalized ranking
ACM Transactions on Internet Technology (TOIT)
Personality aware recommendations to groups
Proceedings of the third ACM conference on Recommender systems
Cubic analysis of social bookmarking for personalized recommendation
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
User satisfaction in long term group recommendations
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Privacy-preserving SOM-based recommendations on horizontally distributed data
Knowledge-Based Systems
Social factors in group recommender systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
jcolibri2: A framework for building Case-based reasoning systems
Science of Computer Programming
| Hi-index | 0.00 |
We present a collaborative recommender that uses a user-based model to predict user ratings for specified items. The model comprises summary rating information derived from a hierarchical clustering of the users. We compare our algorithm with several others. We show that its accuracy is good and its coverage is maximal. We also show that the algorithm is very efficient: predictions can be made in time that grows independently of the number of ratings and items and only logarithmically in the number of users.