about
Uncovering the essential links in online commercial networks.Identification and impact of discoverers in online social systems.Processing Affect in Social Media: A Comparison of Methods to Distinguish Emotions in TweetsEmpirical Study of User Preferences Based on Rating Data of MoviesUsing Dynamic Multi-Task Non-Negative Matrix Factorization to Detect the Evolution of User Preferences in Collaborative Filtering.Empirical Models of Social Learning in a Large, Evolving NetworkMulti-matrices factorization with application to missing sensor data imputation.Sub-sampling framework comparison for low-power data gathering: a comparative analysis.Graphical Models for Ordinal DataFuse: multiple network alignment via data fusion.Structured Matrix Completion with Applications to Genomic Data Integration.Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order setsUncovering the information core in recommender systems.An Architecture for Agile Machine Learning in Real-Time ApplicationsInformation filtering in sparse online systems: recommendation via semi-local diffusionSimilarity from multi-dimensional scaling: solving the accuracy and diversity dilemma in information filteringWalking on a user similarity network towards personalized recommendations.Information Filtering via Heterogeneous Diffusion in Online Bipartite NetworksCombining Review Text Content and Reviewer-Item Rating Matrix to Predict Review RatingInferring Networks of Substitutable and Complementary ProductsPhase transitions in semidefinite relaxations.Testing for associations between loci and environmental gradients using latent factor mixed models.Preference Mining Using Neighborhood Rough Set Model on Two Universes.Accurate and scalable social recommendation using mixed-membership stochastic block modelsDetecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering.Perspective: Sloppiness and emergent theories in physics, biology, and beyond.Analysis and application of opinion model with multiple topic interactions.BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods.RNAcommender: genome-wide recommendation of RNA-protein interactions.Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems.Gene network inference by probabilistic scoring of relationships from a factorized model of interactions.SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines.The knowledge graph as the default data model for learning on heterogeneous knowledgeProbability-based collaborative filtering model for predicting gene-disease associations.Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.Enhancing topology adaptation in information-sharing social networks.A method for evaluating discoverability and navigability of recommendation algorithms.A network and visual quality aware N-screen content recommender system using joint matrix factorization.Factorization threshold models for scale-free networks generation.On Unexpectedness in Recommender Systems
P2860
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P2860
description
article
@en
im August 2009 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в серпні 2009
@uk
ലേഖനം
@ml
name
Matrix Factorization Techniques for Recommender Systems
@en
Matrix Factorization Techniques for Recommender Systems
@nl
type
label
Matrix Factorization Techniques for Recommender Systems
@en
Matrix Factorization Techniques for Recommender Systems
@nl
prefLabel
Matrix Factorization Techniques for Recommender Systems
@en
Matrix Factorization Techniques for Recommender Systems
@nl
P2093
P356
P1433
P1476
Matrix Factorization Techniques for Recommender Systems
@en
P2093
Chris Volinsky
Robert Bell
Yehuda Koren
P356
10.1109/MC.2009.263
P407
P577
2009-08-01T00:00:00Z