Lessons from the Netflix prize challenge
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
kNN CF: a temporal social network
Proceedings of the 2008 ACM conference on Recommender systems
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Matrix factorization and neighbor based algorithms for the netflix prize problem
Proceedings of the 2008 ACM conference on Recommender systems
Self-stabilizing Numerical Iterative Computation
SSS '08 Proceedings of the 10th International Symposium on Stabilization, Safety, and Security of Distributed Systems
Imputed Neighborhood Based Collaborative Filtering
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Differentially private recommender systems: building privacy into the net
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Temporal collaborative filtering with adaptive neighbourhoods
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Social Trust-Aware Recommendation System: A T-Index Approach
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Time-Dependent Models in Collaborative Filtering Based Recommender System
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Recommending new movies: even a few ratings are more valuable than metadata
Proceedings of the third ACM conference on Recommender systems
Factor in the neighbors: Scalable and accurate collaborative filtering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Hydra: a hybrid recommender system [cross-linked rating and content information]
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
Collaborative filtering with temporal dynamics
Communications of the ACM
A modified fuzzy C-means algorithm for collaborative filtering
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
Putting the collaborator back into collaborative filtering
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
Improved neighborhood-based algorithms for large-scale recommender systems
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
Investigation of various matrix factorization methods for large recommender systems
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
Combining predictions for accurate recommender systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
The Journal of Machine Learning Research
On the stability of recommendation algorithms
Proceedings of the fourth ACM conference on Recommender systems
Fast als-based matrix factorization for explicit and implicit feedback datasets
Proceedings of the fourth ACM conference on Recommender systems
Nantonac collaborative filtering: a model-based approach
Proceedings of the fourth ACM conference on Recommender systems
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
Using transitivity to increase the accuracy of sample-based Pearson correlation coefficients
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
A novel approach to compute similarities and its application to item recommendation
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Mechanizing social trust-aware recommenders with T-index augmented trustworthiness
TrustBus'10 Proceedings of the 7th international conference on Trust, privacy and security in digital business
Dynamic updating of online recommender systems via feed-forward controllers
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Fast context-aware recommendations with factorization machines
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Cost-aware travel tour recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Hybrid algorithms for recommending new items
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Distributed rating prediction in user generated content streams
Proceedings of the fifth ACM conference on Recommender systems
Collaborative filtering with collective training
Proceedings of the fifth ACM conference on Recommender systems
Informative household recommendation with feature-based matrix factorization
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Identifying users from their rating patterns
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Quality and Leniency in Online Collaborative Rating Systems
ACM Transactions on the Web (TWEB)
Enhancing matrix factorization through initialization for implicit feedback databases
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Using control theory for stable and efficient recommender systems
Proceedings of the 21st international conference on World Wide Web
New objective functions for social collaborative filtering
Proceedings of the 21st international conference on World Wide Web
ACM Transactions on Interactive Intelligent Systems (TiiS)
Stochastic search for global neighbors selection in collaborative filtering
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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
Expectation-Maximization collaborative filtering with explicit and implicit feedback
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Collaborative filtering with user ratings and tags
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Stability of Recommendation Algorithms
ACM Transactions on Information Systems (TOIS)
Leveraging tagging for neighborhood-aware probabilistic matrix factorization
Proceedings of the 21st ACM international conference on Information and knowledge management
Fast ALS-Based tensor factorization for context-aware recommendation from implicit feedback
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
A general collaborative filtering framework based on matrix bordered block diagonal forms
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Improve collaborative filtering through bordered block diagonal form matrices
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A data-driven method for in-game decision making in MLB: when to pull a starting pitcher
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Proceedings of the 22nd international conference on World Wide Web
Scientific articles recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Which app will you use next?: collaborative filtering with interactional context
Proceedings of the 7th ACM conference on Recommender systems
Evaluating top-n recommendations "when the best are gone"
Proceedings of the 7th ACM conference on Recommender systems
Proceedings of the first ACM conference on Online social networks
Towards a journalist-based news recommendation system: The Wesomender approach
Expert Systems with Applications: An International Journal
Multi-Criteria Recommender Systems based on Multi-Attribute Decision Making
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
ACM Transactions on Information Systems (TOIS)
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
User Modeling and User-Adapted Interaction
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Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collaborative filtering is neighborhood based (" k-nearest neighbors"), where a user-item preference rating is interpolated from ratings of similar items and/or users. We enhance the neighborhood-based approach leading to substantial improvement of prediction accuracy, without a meaningful increase in running time. First, we remove certain so-called "global effects" from the data to make the ratings more comparable, thereby improving interpolation accuracy. Second, we show how to simultaneously derive interpolation weights for all nearest neighbors, unlike previous approaches where each weight is computed separately. By globally solving a suitable optimization problem, this simultaneous interpolation accounts for the many interactions between neighbors leading to improved accuracy. Our method is very fast in practice, generating a prediction in about 0.2 milliseconds. Importantly, it does not require training many parameters or a lengthy preprocessing, making it very practical for large scale applications. Finally, we show how to apply these methods to the perceivably much slower user-oriented approach. To this end, we suggest a novel scheme for low dimensional embedding of the users. We evaluate these methods on the Netflix dataset, where they deliver significantly better results than the commercial Netflix Cinematch recommender system.