Session 3: Recommendation and Temporal Trends
- Modeling Temporal Evidence from External Collections
- Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation
Session 6: Networks and Social Behavior
- Beyond News Contents: The Role of Social Context for Fake News Detection
- CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities
- XBully: Cyberbullying Detection within a Multi-Modal Context
- Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
Session 8: Counterfactual and Causal Learning
- Top-K Off-Policy Correction for a REINFORCE Recommender System
Session 9: Recommendation
- Neural Tensor Factorization for Temporal Interaction Learning
- Recurrent Recommendation with Local Coherence
- Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
- A Simple Convolutional Generative Network for Next Item Recommendation
- Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
Session 10: Personalization and Characterizing User Behavior
- Why the World Reads Wikipedia: Beyond English Speakers
- The Influence of Image Search Intents on User Behavior and Satisfaction
Session 11: Domain Transfer and Representation Learning
- Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
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