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latent factor model

53 papers

LFM

Papers

DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation IJCAI 2018 Learning from Group Comparisons: Exploiting Higher Order Interactions NeurIPS 2018 Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations IJCAI 2018 oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis ICML 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017 Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017 Symmetric Non-negative Latent Factor Models for Undirected Large Networks IJCAI 2017 Tied Variational Autoencoder Backends for i-Vector Speaker Recognition Interspeech 2017 Bayesian group factor analysis with structured sparsity JMLR 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 Polya-gamma augmentations for factor models ACML 2014 Deep content-based music recommendation NeurIPS 2013 A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012 A latent factor model for highly multi-relational data NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009