conftrace_

recommender system

534 papers

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Also known as

RECSYS RS

Co-occurring keywords

collaborative filtering (300) recommendation system (294) large language model (13587) matrix factorization (529) representation learning (6206) graph neural network (3962) neural network (6616) attention mechanism (4001) user modeling (134) user preference (114)

Papers

Diversified Recommendations for Agents with Adaptive Preferences NIPS 2022
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction NIPS 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems NIPS 2022
Accuracy meets Diversity in a News Recommender System COLING 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems NIPS 2022
Recommender Forest for Efficient Retrieval NIPS 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems NIPS 2022
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation AAAI 2022
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract) AAAI 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NIPS 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NIPS 2022
Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information EMNLP 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
Learning from a Learning User for Optimal Recommendations ICML 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022
“Does it come in black?” CLIP-like models are zero-shot recommenders ACL 2022