Recommender Systems
343 papers
Papers per year
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Papers
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
EMNLP 2024
Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values
IJCAI 2024
User Embedding Model for Personalized Language Prompting
EACL 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
AAAI 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Your Career Path Matters in Person-Job Fit
AAAI 2024
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing
AAAI 2023
Blending Advertising with Organic Content in E-commerce via Virtual Bids
AAAI 2023
Causal Matrix Completion
COLT 2023
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
EMNLP 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
NeurIPS 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
ACL 2023
Domain Generalization via Switch Knowledge Distillation for Robust Review Representation
ACL 2023
Dynamic Open-book Prompt for Conversational Recommender System
EMNLP 2023
Embedding Mental Health Discourse for Community Recommendation
ACL 2023
Evaluating Digital Agriculture Recommendations with Causal Inference
AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective
AAAI 2023
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract)
AAAI 2023
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
ICLR 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
AISTATS 2023
LANCER: A Lifetime-Aware News Recommender System
AAAI 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
ACML 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
NeurIPS 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
AISTATS 2023