papers

Unbiased LTR

• [RecSys 19] PAL: a position-bias aware learning framework for CTR prediction in live recommender systems
• [arxiv 18] Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
• [arxiv 18] A Study of Position Bias in Digital Library Recommender Systems
• [WSDM 17] Unbiased Learning-to-Rank with Biased Feedback
• [SIGIR 16] Learning to Rank with Selection Bias in Personal Search

Multitask

• [RecSys 19] A Pareto-Eficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation
• [RecSys 19] Recommending What Video to Watch Next: A Multitask Ranking System
• [AAAI 19] SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
• [arxiv 19] Conversion Rate Prediction via Post-Click Behaviour Modeling
• [arxiv 19] Deep Bayesian Multi-Target Learning for Recommender Systems
• [KDD 18] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
• [SIGIR 18] Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate