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Recommender Systems
1012 directly classified papers
Papers per year
2006: 2
2007: 4
2008: 6
2009: 5
2010: 9
2011: 11
2012: 15
2013: 13
2014: 25
2015: 15
2016: 33
2017: 42
2018: 53
2019: 110
2020: 98
2021: 104
2022: 86
2023: 105
2024: 112
2025: 156
2026: 8
Papers
A Reading Environment for Learners of Chinese as a Foreign Language
COLING 2016
Beyond Exchangeability: The Chinese Voting Process
NIPS 2016
Preference Completion from Partial Rankings
NIPS 2016
Assortment Optimization Under the Mallows model
NIPS 2016
A Sparse Interactive Model for Matrix Completion with Side Information
NIPS 2016
Fast Distributed Submodular Cover: Public-Private Data Summarization
NIPS 2016
Data-driven Rank Breaking for Efficient Rank Aggregation
JMLR 2016
fastFM: A Library for Factorization Machines
JMLR 2016
Distributed Representations for Building Profiles of Users and Items from Text Reviews
COLING 2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention
COLING 2016
Extracting Discriminative Keyphrases with Learned Semantic Hierarchies
COLING 2016
Using Relevant Public Posts to Enhance News Article Summarization
COLING 2016
Product Classification in E-Commerce using Distributional Semantics
COLING 2016
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
COLING 2016
Comparative Deep Learning of Hybrid Representations for Image Recommendations
CVPR 2016
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
ACML 2016
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
ACML 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees
ACML 2016
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
ICML 2016
Contextual Combinatorial Cascading Bandits
ICML 2016
DCM Bandits: Learning to Rank with Multiple Clicks
ICML 2016
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
ICML 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
NIPS 2016
Matrix Completion has No Spurious Local Minimum
NIPS 2016
Hierarchical Compound Poisson Factorization
ICML 2016
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