Collaborative Filtering

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation AAAI 2025 ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering ICLR 2024 TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations ICLR 2023 Low-Pass Graph Convolutional Network for Recommendation AAAI 2022 Intelligent Recommendations for Citizen Science AAAI 2021 Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021 Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation AAAI 2020 RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020 Convolutional Neural Collaborative Filtering with Stacked Embeddings ACML 2019 Personalized Multimedia Item and Key Frame Recommendation IJCAI 2019 Smooth neighborhood recommender systems JMLR 2019 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NeurIPS 2016 Deconvolving Feedback Loops in Recommender Systems NeurIPS 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NeurIPS 2014 Deep content-based music recommendation NeurIPS 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Efficient Online Learning via Randomized Rounding NeurIPS 2011 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010