Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Collaborative filtering with privacy via factor analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
The Journal of Machine Learning Research
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
TiVo: making show recommendations using a distributed collaborative filtering architecture
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
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
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Restricted Boltzmann machines for collaborative filtering
Proceedings of the 24th international conference on Machine learning
Modeling relationships at multiple scales to improve accuracy of large recommender systems
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Applying collaborative filtering techniques to movie search for better ranking and browsing
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Lessons from the Netflix prize challenge
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Major components of the gravity recommendation system
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
A Survey of Explanations in Recommender Systems
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Collaborative filtering based on iterative principal component analysis
Expert Systems with Applications: An International Journal
Adapting neighborhood and matrix factorization models for context aware recommendation
Proceedings of the Workshop on Context-Aware Movie Recommendation
Unifying explicit and implicit feedback for collaborative filtering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
On bootstrapping recommender systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
From netflix to heart attacks: collaborative filtering in medical datasets
Proceedings of the 1st ACM International Health Informatics Symposium
Adaptive bootstrapping of recommender systems using decision trees
Proceedings of the fourth ACM international conference on Web search and data mining
Functional matrix factorizations for cold-start recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Reperio: A Generic and Flexible Industrial Recommender System
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving neighborhood based Collaborative Filtering via integrated folksonomy information
Pattern Recognition Letters
Effects of user similarity in social media
Proceedings of the fifth ACM international conference on Web search and data mining
Personalized recommendation of user comments via factor models
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Factorization Machines with libFM
ACM Transactions on Intelligent Systems and Technology (TIST)
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
ACM Transactions on Interactive Intelligent Systems (TiiS)
Accuracy improvements for multi-criteria recommender systems
Proceedings of the 13th ACM Conference on Electronic Commerce
Subjective review-based reputation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Kernel-Mapping Recommender system algorithms
Information Sciences: an International Journal
Exploiting space-time status for service recommendation
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
Learning to recommend based on slope one strategy
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Transfer learning to predict missing ratings via heterogeneous user feedbacks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Recommending Flickr groups with social topic model
Information Retrieval
From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Learning binary codes for collaborative filtering
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Learning to rank social update streams
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
A propagation model for integrating web of things and social networks
ICSOC'11 Proceedings of the 2011 international conference on Service-Oriented Computing
Scalable similarity-based neighborhood methods with MapReduce
Proceedings of the sixth ACM conference on Recommender systems
Discovering latent factors from movies genres for enhanced recommendation
Proceedings of the sixth ACM conference on Recommender systems
Stability of Recommendation Algorithms
ACM Transactions on Information Systems (TOIS)
PRemiSE: personalized news recommendation via implicit social experts
Proceedings of the 21st ACM international conference on Information and knowledge management
Using program synthesis for social recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Scalable collaborative filtering using incremental update and local link prediction
Proceedings of the 21st ACM international conference on Information and knowledge management
Social temporal collaborative ranking for context aware movie recommendation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Learning multiple-question decision trees for cold-start recommendation
Proceedings of the sixth ACM international conference on Web search and data mining
Co-factorization machines: modeling user interests and predicting individual decisions in Twitter
Proceedings of the sixth ACM international conference on Web search and data mining
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
Recommendation in Online Health Communities
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
gSVD++: supporting implicit feedback on recommender systems with metadata awareness
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Collaborative factorization for recommender systems
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Online multi-task collaborative filtering for on-the-fly recommender systems
Proceedings of the 7th ACM conference on Recommender systems
Towards scalable and accurate item-oriented recommendations
Proceedings of the 7th ACM conference on Recommender systems
Clustering-based factorized collaborative filtering
Proceedings of the 7th ACM conference on Recommender systems
Pessimists and optimists: Improving collaborative filtering through sentiment analysis
Expert Systems with Applications: An International Journal
Hybrid recommenders: incorporating metadata awareness into latent factor models
Proceedings of the 19th Brazilian symposium on Multimedia and the web
Personalized news recommendation via implicit social experts
Information Sciences: an International Journal
Exploiting contextual factors for click modeling in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
Estimating ad group performance in sponsored search
Proceedings of the 7th ACM international conference on Web search and data mining
An entropy-based neighbor selection approach for collaborative filtering
Knowledge-Based Systems
Cloud based real-time collaborative filtering for item-item recommendations
Computers in Industry
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
Tutorial on application-oriented evaluation of recommendation systems
AI Communications
A genre-based fuzzy inference approach for effective filtering of movies
Intelligent Data Analysis
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Recommender systems provide users with personalized suggestions for products or services. These systems often rely on collaborating filtering (CF), where past transactions are analyzed in order to establish connections between users and products. The most common approach to CF is based on neighborhood models, which originate from similarities between products or users. In this work we introduce a new neighborhood model with an improved prediction accuracy. Unlike previous approaches that are based on heuristic similarities, we model neighborhood relations by minimizing a global cost function. Further accuracy improvements are achieved by extending the model to exploit both explicit and implicit feedback by the users. Past models were limited by the need to compute all pairwise similarities between items or users, which grow quadratically with input size. In particular, this limitation vastly complicates adopting user similarity models, due to the typical large number of users. Our new model solves these limitations by factoring the neighborhood model, thus making both item-item and user-user implementations scale linearly with the size of the data. The methods are tested on the Netflix data, with encouraging results.