CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
An Introduction to Variational Methods for Graphical Models
Machine Learning
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
An Improved Cluster Labeling Method for Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
A Scalable Collaborative Filtering Framework Based on Co-Clustering
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Knowledge and Data Engineering
Similarity Measure and Instance Selection for Collaborative Filtering
International Journal of Electronic Commerce
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Clustering Based on Gaussian Processes
Neural Computation
A novel method for measuring semantic similarity for XML schema matching
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An iterative semi-explicit rating method for building collaborative recommender systems
Expert Systems with Applications: An International Journal
User credit-based collaborative filtering
Expert Systems with Applications: An International Journal
Latent class models for collaborative filtering
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
ItemRank: a random-walk based scoring algorithm for recommender engines
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Constructing sparse kernel machines using attractors
IEEE Transactions on Neural Networks
Equilibrium-Based Support Vector Machine for Semisupervised Classification
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
An improved privacy-preserving DWT-based collaborative filtering scheme
Expert Systems with Applications: An International Journal
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
Privacy-preserving SOM-based recommendations on horizontally distributed data
Knowledge-Based Systems
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
Improving collaborative filtering-based recommender systems results using Pareto dominance
Information Sciences: an International Journal
Probabilistic generative ranking method based on multi-support vector domain description
Information Sciences: an International Journal
Advances in Clustering Collaborative Filtering by means of Fuzzy C-means and trust
Expert Systems with Applications: An International Journal
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Memory-based collaborative filtering (CF) makes recommendations based on a collection of user preferences for items. The idea underlying this approach is that the interests of an active user will more likely coincide with those of users who share similar preferences to the active user. Hence, the choice and computation of a similarity measure between users is critical to rating items. This work proposes a similarity update method that uses an iterative message passing procedure. Additionally, this work deals with a drawback of using the popular mean absolute error (MAE) for performance evaluation, namely that ignores ratings distribution. A novel modulation method and an accuracy metric are presented in order to minimize the predictive accuracy error and to evenly distribute predicted ratings over true rating scales. Preliminary results show that the proposed similarity update and prediction modulation techniques significantly improve the predicted rankings.