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
Restricted Boltzmann machines for collaborative filtering
Proceedings of the 24th international conference on Machine learning
Efficient bayesian hierarchical user modeling for recommendation system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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
Proceedings of the 13th 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
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Matchbox: large scale online bayesian recommendations
Proceedings of the 18th international conference on World wide web
Non-linear matrix factorization with Gaussian processes
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Factor in the neighbors: Scalable and accurate collaborative filtering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Practical lessons of data mining at Yahoo!
Proceedings of the 18th ACM conference on Information and knowledge management
IPTV, towards seamless infotainment
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Neel: an intelligent shopping guide - using web data for rich interactions
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
On the stability of recommendation algorithms
Proceedings of the fourth ACM conference on Recommender systems
Do clicks measure recommendation relevancy?: an empirical user study
Proceedings of the fourth ACM conference on Recommender systems
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
Temporal Link Prediction Using Matrix and Tensor Factorizations
ACM Transactions on Knowledge Discovery from Data (TKDD)
Fingerprinting ratings for collaborative filtering: theoretical and empirical analysis
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Analyzing category correlations for recommendation system
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Recommender systems by means of information retrieval
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Recommender systems with non-binary grades
Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures
Predicting private company exits using qualitative data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
The crowdsourcing design space
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
KT-IDEM: introducing item difficulty to the knowledge tracing model
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy
Proceedings of the fifth ACM conference on Recommender systems
Predicting performance in recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
A movie recommendation algorithm based on genre correlations
Expert Systems with Applications: An International Journal
A recommendation system based on a subset of raters
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Investigating the influence of QoS on personal evaluation behaviour in a mobile context
Multimedia Tools and Applications
Using past-prediction accuracy in recommender systems
Information Sciences: an International Journal
Kernel-Mapping Recommender system algorithms
Information Sciences: an International Journal
Neural Networks
Active learning for online bayesian matrix factorization
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Maximum inner-product search using cone trees
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Estimating the magic barrier of recommender systems: a user study
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Scalable similarity-based neighborhood methods with MapReduce
Proceedings of the sixth ACM conference on Recommender systems
Stability of Recommendation Algorithms
ACM Transactions on Information Systems (TOIS)
DJoin: differentially private join queries over distributed databases
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Efficient retrieval of recommendations in a matrix factorization framework
Proceedings of the 21st ACM international conference on Information and knowledge management
The efficient imputation method for neighborhood-based collaborative filtering
Proceedings of the 21st ACM international conference on Information and knowledge management
Leveraging tagging for neighborhood-aware probabilistic matrix factorization
Proceedings of the 21st ACM international conference on Information and knowledge management
Representative reviewers for Internet social media
Expert Systems with Applications: An International Journal
Simultaneous compaction and factorization of sparse image motion matrices
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Computational & Mathematical Organization Theory
gSVD++: supporting implicit feedback on recommender systems with metadata awareness
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Mining large streams of user data for personalized recommendations
ACM SIGKDD Explorations Newsletter
A hidden Markov model for collaborative filtering
MIS Quarterly
AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Big & personal: data and models behind netflix recommendations
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Expert Systems with Applications: An International Journal
A fast parallel SGD for matrix factorization in shared memory systems
Proceedings of the 7th ACM conference on Recommender systems
Sage: recommender engine as a cloud service
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
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Hybrid recommenders: incorporating metadata awareness into latent factor models
Proceedings of the 19th Brazilian symposium on Multimedia and the web
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Merging trust in collaborative filtering to alleviate data sparsity and cold start
Knowledge-Based Systems
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This article outlines the overall strategy and summarizes a few key innovations of the team that won the first Netflix progress prize.