Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
EM algorithms for PCA and SPCA
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd 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
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
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
Collaborative filtering based on iterative principal component analysis
Expert Systems with Applications: An International Journal
Measuring and extracting proximity graphs in networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Lessons from the Netflix prize challenge
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
Weighted graphs and disconnected components: patterns and a generator
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Large-Scale Parallel Collaborative Filtering for the Netflix Prize
AAIM '08 Proceedings of the 4th international conference on Algorithmic Aspects in Information and Management
Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
A random walk method for alleviating the sparsity problem in collaborative filtering
Proceedings of the 2008 ACM conference on Recommender systems
Regression-based latent factor models
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
TANGENT: a novel, 'Surprise me', recommendation algorithm
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Pairwise preference regression for cold-start recommendation
Proceedings of the third ACM conference on Recommender systems
Proceedings of the third ACM conference on Recommender systems
Learning to recommend with trust and distrust relationships
Proceedings of the third ACM conference on Recommender systems
Analysis of cold-start recommendations in IPTV systems
Proceedings of the third ACM conference on Recommender systems
Ensemble methods for improving the performance of neighborhood-based collaborative filtering
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)
Information Sciences: an International Journal
Integrated Recommender Systems Based on Ontology and Usage Mining
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Recommendation method that considers the context of product purchases
WSEAS Transactions on Information Science and Applications
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
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
Ricardo: integrating R and Hadoop
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Fast online learning through offline initialization for time-sensitive recommendation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Aggregating preference graphs for collaborative rating prediction
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
Integrating OLAP and recommender systems: an evaluation perspective
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
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
Topic modeling for personalized recommendation of volatile items
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Using external aggregate ratings for improving individual recommendations
ACM Transactions on the Web (TWEB)
Expert Systems with Applications: An International Journal
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
Shopping for products you don't know you need
Proceedings of the fourth ACM international conference on Web search and data mining
Learning to recommend with explicit and implicit social relations
ACM Transactions on Intelligent Systems and Technology (TIST)
Improving Recommender Systems by Incorporating Social Contextual Information
ACM Transactions on Information Systems (TOIS)
Jigs and lures: associating web queries with structured entities
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Probabilistic factor models for web site recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Generalizing matrix factorization through flexible regression priors
Proceedings of the fifth ACM conference on Recommender systems
A new architectural paradigm for content-based web applications: Borè
Proceedings of the 15th Symposium on International Database Engineering & Applications
A strategy-oriented operation module for recommender systems in E-commerce
Computers and Operations Research
Finding your friends and following them to where you are
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
Proceedings of the 21st international conference on World Wide Web
Enforcing interaction and cooperation in content-based web3.0 applications
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Non-negative residual matrix factorization: problem definition, fast solutions, and applications
Statistical Analysis and Data Mining
Circle-based recommendation in online social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering unknown but interesting items on personal social network
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Discovering latent factors from movies genres for enhanced recommendation
Proceedings of the sixth ACM conference on Recommender systems
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
Using program synthesis for social recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning the Strength of the Factors Influencing User Behavior in Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Expert Systems with Applications: An International Journal
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
HeteroMF: recommendation in heterogeneous information networks using context dependent factor models
Proceedings of the 22nd international conference on World Wide Web
MATRI: a multi-aspect and transitive trust inference model
Proceedings of the 22nd international conference on World Wide Web
An algorithmic approach to missing data problem in modeling human aspects in software development
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Scientific articles recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Pessimists and optimists: Improving collaborative filtering through sentiment analysis
Expert Systems with Applications: An International Journal
Modeling the interplay of people's location, interactions, and social ties
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Clustering-based diversity improvement in top-N recommendation
Journal of Intelligent Information Systems
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The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past user-item relationships. In this work, we propose novel algorithms for predicting user ratings of items by integrating complementary models that focus on patterns at different scales. At a local scale, we use a neighborhood-based technique that infers ratings from observed ratings by similar users or of similar items. Unlike previous local approaches, our method is based on a formal model that accounts for interactions within the neighborhood, leading to improved estimation quality. At a higher, regional, scale, we use SVD-like matrix factorization for recovering the major structural patterns in the user-item rating matrix. Unlike previous approaches that require imputations in order to fill in the unknown matrix entries, our new iterative algorithm avoids imputation. Because the models involve estimation of millions, or even billions, of parameters, shrinkage of estimated values to account for sampling variability proves crucial to prevent overfitting. Both the local and the regional approaches, and in particular their combination through a unifying model, compare favorably with other approaches and deliver substantially better results than the commercial Netflix Cinematch recommender system on a large publicly available data set.