recommendation system

Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract) AAAI 2021 Interacting with Explanations through Critiquing IJCAI 2021 Interpretable Deep Generative Recommendation Models JMLR 2021 KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals EMNLP 2021 Learning from eXtreme Bandit Feedback AAAI 2021 Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021 Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract) AAAI 2021 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training ICLR 2021 Neural Utility Functions AAAI 2021 Personalized Adaptive Meta Learning for Cold-start User Preference Prediction AAAI 2021 Personalized Transformer for Explainable Recommendation ACL 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Relational Boosted Bandits AAAI 2021 Stochastic Dueling Bandits with Adversarial Corruption ALT 2021 TITA: A Two-stage Interaction and Topic-Aware Text Matching Model NAACL 2021 Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract) AAAI 2021 U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021 Adversarial Oracular Seq2seq Learning for Sequential Recommendation IJCAI 2020 Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation AAAI 2020 Content Provider Dynamics and Coordination in Recommendation Ecosystems NeurIPS 2020 Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020 Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020 Defining Explanation in an AI Context EMNLP 2020 Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation AAAI 2020