KDD 2017


  • Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
  • Unsupervised P2P Rental Recommendations via Integer Programming
  • HoORaYs: High-order Optimization of Rating Distance for Recommender Systems
  • Collaborative Variational Autoencoder for Recommender Systems


  • Recurrent Poisson Factorization for Temporal Recommendation
  • Recommending Items with the Most Valuable Aspects Based on User Reviews
  • Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI recommendation
  • A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Mobile Users
  • Post Processing Recommender Systems for Diversity


  • A Data-driven Process Recommender Framework
  • Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors Demonstration
  • Embedding-based News Recommendation for Millions of Users

KDD 2016


  • The Limits of Popularity-Based Recommendations, and the Role of Social Ties
  • Unified Point-of-Interest Recommendation with Temporal Interval Assessment
  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends
  • Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic
  • Towards Conversational Recommender Systems


  • Online Context-Aware Recommendation with Time Varying Multi-Arm Bandit
  • Data-driven Automatic Treatment Regimen Development and Recommendation
  • The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation


  • Designing Policy Recommendations to Reduce Home Abandonment in Mexico
  • An Empirical Study on Recommendation with Multiple Types of Feedback
  • Collaborative Knowledge Base Embedding for Recommender Systems
  • When Recommendation Goes Wrong - Anomalous Link Discovery in Recommendation Networks
  • Compute Job Memory Recommender System Using Machine Learning

WSDM 2017

  • Bartering Books to Beers: A Recommender System for Exchange Platforms
  • Directed Edge Recommender System
  • Impact of link recommendations on the evolution of ego-networks
  • Joint Deep Modeling of Users and Items Using Reviews for Recommendation
  • Multi-product Utility Maximization for Portfolio Recommendation
  • Neural Survival Recommender
  • Probabilistic Social Sequential Model for Tour Recommendation
  • Recurrent Recommender Networks
  • Social Collaborative Viewpoint Regression with Explainable Recommendations

WSDM 2016

  • Probabilistic Group Recommendation Model for Crowdfunding Domains
  • Centrality-Aware Link Recommendations
  • Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

SIGIR 2017

  • Multi-site User Behavior Modeling and Its Application in Video Recommendation
  • Item Silk Road: Recommending Items from Information Domains to Social Users
  • Cross-Domain Recommendation via Clustering on Multi-Layer Graphs
  • Personalized Key Frame Recommendation
  • Personalized Itinerary Recommendation with Queuing Time Awareness
  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
  • Neural Rating Regression with Abstractive Tips Generation for Recommendation
  • Content Recommendation for Viral Social Influence
  • Exploiting Food Choice Biases for Healthier Recipe Recommendation
  • Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
  • [TOIS] On Effective Location-Aware Music Recommendation
  • [S1-04] Combining Top-N Recommenders with Metasearch Algorithms
  • [S1-13] DeepStyle: Learning User Preferences for Visual Recommendation
  • [S1-18] Event Recommendation based on Graph Random Walking and History Preference Reranking
  • [S1-24] A Poisson Regression Method for Top-N Recommendation
  • [S1-30] Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
  • [S1-49] Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection
  • [S2-11] Generating and Personalizing Bundle Recommendations on Steam
  • [S2-16] Neural Citation Network for Context-Aware Citation Recommendation
  • [S2-36] Open Source Repository Recommendation in Social Coding
  • [S2-54] KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation
  • [S2-57] A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms

SIGIR 2016

  • Learning to Rank Features for Recommendation over Multiple Categories.
  • How Much Novelty is Relevant? It Depends on Your Curiosity.
  • Discrete Collaborative Filtering.
  • Contextual Bandits in a Collaborative Environment.
  • Collaborative Filtering Bandits.
  • Fast Matrix Factorization for Online Recommendation with Implicit Feedback.

WWW 2017

  • Neural Collaborative Filtering
  • Learning to Recommend Accurate and Diverse Items
  • Collaborative Metric Learning
  • Beyond Globally Optimal: Focused Learning for Improved Recommendations
  • Fairness in Package-to-Group Recommendations
  • Streaming Recommender Systems
  • What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation
  • A General Model for Out-of-town Region Recommendation

WWW 2016

  • Growing Wikipedia Across Languages via Recommendation
  • Power of Human Curation in Recommendation Systems
  • Improving Music Recommendation using Distributed Representation