July 11, 2021 - July 15, 2021

Microsoft at SIGIR 2021

Location: Virtual

All times are in EDT (UTC -4)

08:00 – 09:25

Doctoral Consortium Session 1

Invitation-only event

Estimating the Reliability of Health-related Search Results
Marcos Fernández Pichel

Co-Mentor: Susan Dumais
09:45 – 11:10

Doctoral Consortium Session 2

Invitation-only event

Enabling Performance Prediction in Information Retrieval Evaluation
Guglielmo Faggioli

Co-Mentor: Susan Dumais

11:00 – 12:00 Session 1A – Bias and Counterfactual Learning 1

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback
Related Publications
- Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback
  
  Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
11:00 – 12:00

Session 1B – Recommendation
Related Publications
- Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
  
  Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
- Personalized News Recommendation with Knowledge-aware Interactive Matching
  
  Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
11:00 – 12:00

Session 1F – Applications 1
Related Publications
- AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
- Hybrid Learning to Rank for Financial Event Ranking
  
  Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua
12:00 – 13:00 2F – Applications 2

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems
Related Publications
- RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems
  
  Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
13:00 – 14:00

Poster Session One
Related Publications
- Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  
  Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
- Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
  
  Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
- TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
13:00 – 14:00

[Demo] OpenMatch: An Open Source Library for Neu-IR Research
Related Publications
- OpenMatch: An Open Source Library for Neu-IR Research
  
  Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun

10:00 – 11:00 Session 3B – Recommendation 3

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
Related Publications
- Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
  
  Huiyuan Chen, Lan Wang, Yusan Lin, Michael Yeh, Fei Wang, Hao Yang
10:00 – 11:00

Session 3E – Diversity and novelty
Related Publications
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
- Graph Meta Network for Multi-Behavior Recommendation
  
  Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
10:00 – 11:00 Session 3C – Neural IR

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Related Publications
- Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
  
  Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
11:00 – 12:00 Session 4A – Conversational IR 2

Few-Shot Conversational Dense Retrieval
Related Publications
- Few-Shot Conversational Dense Retrieval
  
  Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu

10:00 – 11:00 Session 5E – Efficiency

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
Related Publications
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
  
  Sebastian Hofstatter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
11:00 – 11:40 Talk session

You can’t improve what You don’t measure: How to design robust online metrics

Speaker: Widad Machmouchi
11:00 – 12:00 Session 6B – Reinforcement learning and bandits

Glider: A reinforcement learning approach to extract UI scripts from websites
Related Publications
- Glider: A reinforcement learning approach to extract UI scripts from websites
  
  Yuanchun Li, Oriana Riva
11:00 – 12:00 Session 6C – Natural language and semantics

Conversations Powered by Cross-Lingual Knowledge
Related Publications
- Conversations Powered by Cross-Lingual Knowledge
  
  Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
11:00 – 12:00

Session 6E – Evaluation
Related Publications
- Do affective cues validate behavioural metrics for search?
  
  Daniel McDuff, Paul Thomas, Kael Rowan, Nick Craswell, Mary Czerwinski
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin

03:00 – 14:40 Workshop

Sim4IR: Workshop on Simulation for Information Retrieval Evaluation

Organizer: Paul Thomas
03:00 – 15:00 Workshop

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval

Organizer: Li Zhao
07:00 – 21:00 Workshop

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation

Industry Keynote: Tobias Schnabel, Microsoft Research
11:20 – 20:30 Workshop

Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision

Speaker: Morgan Klaus Scheuerman (2021 MSR Research Fellow)

Microsoft at SIGIR 2021

Sunday, July 11, 2021

Doctoral Consortium Session 1

Doctoral Consortium Session 2

Monday, July 12, 2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback

Session 1B – Recommendation

Session 1F – Applications 1

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

Poster Session One

[Demo] OpenMatch: An Open Source Library for Neu-IR Research

Tuesday, July 13, 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Session 3E – Diversity and novelty

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models

Few-Shot Conversational Dense Retrieval

Wednesday, July 14, 2021

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking

You can’t improve what You don’t measure: How to design robust online metrics

Glider: A reinforcement learning approach to extract UI scripts from websites

Conversations Powered by Cross-Lingual Knowledge

Session 6E – Evaluation

Thursday, July 15, 2021

Sim4IR: Workshop on Simulation for Information Retrieval Evaluation

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation

Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision