July 11, 2021 – July 15, 2021

Microsoft at SIGIR 2021

Location: Virtual

Publications

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- 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
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | August 2021
  
  Publication PDF
- Do affective cues validate behavioural metrics for search?
  
  Daniel McDuff, Paul Thomas, Kael Rowan, Nick Craswell, Mary Czerwinski
  
  SIGIR 2021 | July 2021
  
  PDF DOI
- Graph Meta Network for Multi-Behavior Recommendation
  
  Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication PDF
- Hybrid Learning to Rank for Financial Event Ranking
  
  Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua, Cheng Luo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication
- 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
  
  Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication
- Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
  
  Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang, Hao Yang
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication
- Conversations Powered by Cross-Lingual Knowledge
  
  Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
  
  SIGIR 2021 | July 2021
  
  PDF
- Few-Shot Conversational Dense Retrieval
  
  Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu
  
  SIGIR 2021 | July 2021
  
  Publication
- Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
  
  Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
  
  44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) | July 2021
  
  PDF
- Personalized News Recommendation with Knowledge-aware Interactive Matching
  
  Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
  
  SIGIR 2021 | July 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
  
  Sebastian Hofstatter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF
- Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  
  Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | March 2021
  
  Publication Preprint PDF Download

- 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
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | August 2021
  
  Publication PDF
- Do affective cues validate behavioural metrics for search?
  
  Daniel McDuff, Paul Thomas, Kael Rowan, Nick Craswell, Mary Czerwinski
  
  SIGIR 2021 | July 2021
  
  PDF DOI
- Graph Meta Network for Multi-Behavior Recommendation
  
  Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication PDF
- Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
  
  Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang, Hao Yang
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication
- 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
  
  Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication
- Hybrid Learning to Rank for Financial Event Ranking
  
  Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua, Cheng Luo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication
- Conversations Powered by Cross-Lingual Knowledge
  
  Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
  
  SIGIR 2021 | July 2021
  
  PDF
- Few-Shot Conversational Dense Retrieval
  
  Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu
  
  SIGIR 2021 | July 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Personalized News Recommendation with Knowledge-aware Interactive Matching
  
  Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
  
  SIGIR 2021 | July 2021
  
  Publication
- Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
  
  Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
  
  44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) | July 2021
  
  PDF
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
  
  Sebastian Hofstatter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  
  Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | March 2021
  
  Publication Preprint PDF Download
- Conversations Powered by Cross-Lingual Knowledge
  
  Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
  
  SIGIR 2021 | July 2021
  
  PDF
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
  
  Sebastian Hofstatter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  
  Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | March 2021
  
  Publication Preprint PDF Download

- 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
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | August 2021
  
  Publication PDF
- Do affective cues validate behavioural metrics for search?
  
  Daniel McDuff, Paul Thomas, Kael Rowan, Nick Craswell, Mary Czerwinski
  
  SIGIR 2021 | July 2021
  
  PDF DOI
- Graph Meta Network for Multi-Behavior Recommendation
  
  Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication PDF
- Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
  
  Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang, Hao Yang
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication
- Hybrid Learning to Rank for Financial Event Ranking
  
  Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua, Cheng Luo
  
  2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication Publication
- Conversations Powered by Cross-Lingual Knowledge
  
  Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
  
  SIGIR 2021 | July 2021
  
  PDF
- Few-Shot Conversational Dense Retrieval
  
  Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu
  
  SIGIR 2021 | July 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Personalized News Recommendation with Knowledge-aware Interactive Matching
  
  Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
  
  SIGIR 2021 | July 2021
  
  Publication
- Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
  
  Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
  
  44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) | July 2021
  
  PDF
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
  
  Sebastian Hofstatter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | May 2021
  
  Publication Preprint PDF
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  
  Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF
- MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  
  Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | April 2021
  
  Publication Preprint PDF PDF Download
- 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
  
  Proceedings of the 44th international ACM SIGIR conference on Research & development in information retrieval | March 2021
  
  Publication Preprint PDF Download
- 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
  
  Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021
  
  DOI Publication