收集的一些关于 Learning To Rank(LTR) 的论文…

SIGIR

1. Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks, 2015
2. Neural Ranking Models with Weak Supervision, 2017
3. Adversarial Personalized Ranking for Recommendation, 2018
4. Equity of Attention: Amortizing Individual Fairness in Rankings, 2018
5. CEDR: Contextualized Embeddings for Document Ranking, 2019
6. Learning to Rank with Selection Bias in Personal Search, 2016
7. Learning to Rank Features for Recommendation over Multiple Categories, 2016
8. Learning a Deep Listwise Context Model for Ranking Refinement, 2018
9. Unbiased Learning to Rank with Unbiased Propensity Estimation, 2018
10. On Application of Learning to Rank for E-Commerce Search, 2019
11. Word-Entity Duet Representations for Document Ranking, 2017
12. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT, 2020
13. P$^3$ Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning, 2022

WSDM

1. Unbiased Learning-to-Rank with Biased Feedback, 2017
2. Position Bias Estimation for Unbiased Learning to Rank in Personal Search, 2018
3. Personalized PageRank Estimation and Search: A Bidirectional Approach, 2016
4. Neural Ranking Models with Multiple Document Fields, 2018
5. Multileave Gradient Descent for Fast Online Learning to Rank, 2016

KDD

1. Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic, 2016
2. Real-time Personalization using Embeddings for Search Ranking at Airbnb, 2018

WWW

1. Diversification-Aware Learning to Rank using Distributed Representation, 2021
2. DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems, 2021
3. Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank, 2021
4. Density-Ratio Based Personalised Ranking from Implicit Feedback, 2021
5. PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer, 2021
6. An Alternative Cross Entropy Loss for Learning-to-Rank, 2021
7. Long Short-Term Session Search with Joint Document Reranking and Next Query Prediction, 2021
8. Improving Text Encoder via Graph Neural Network in Sponsored Search, 2021
9. Field-aware Embedding Space Searching in Recommender Systems, 2021
10. A Multi-task Learning Framework for Product Ranking with BERT, 2022
11. Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning, 2022
12. End-to-end Learning for Fair Ranking Systems, 2022
13. Learning Neural Ranking Models Online from Implicit User Feedback, 2022
14. Socialformer: Social Network Inspired Long Document Modeling for Document Ranking, 2022