Microsoft at SIGIR 2021

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

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

Graph Meta Network for Multi-Behavior Recommendation

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo

July 2021

Hybrid Learning to Rank for Financial Event Ranking

Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua

July 2021

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

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

July 2021

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

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Huiyuan Chen, Lan Wang, Yusan Lin, Michael Yeh, Fei Wang, Hao Yang

July 2021

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 Publication

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

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 Publication

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

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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

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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

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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

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

Graph Meta Network for Multi-Behavior Recommendation

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo

July 2021

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

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Huiyuan Chen, Lan Wang, Yusan Lin, Michael Yeh, Fei Wang, Hao Yang

July 2021

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

July 2021

Hybrid Learning to Rank for Financial Event Ranking

Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua

July 2021

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 Publication

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

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 Publication 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 Publication

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 Publication 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 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 Publication

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

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 Publication 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 Publication

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 Publication 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 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

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 Publication

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

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 Publication 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 Publication

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 Publication 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 Download

Graph Meta Network for Multi-Behavior Recommendation

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo

July 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Huiyuan Chen, Lan Wang, Yusan Lin, Michael Yeh, Fei Wang, Hao Yang

July 2021

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

July 2021

Hybrid Learning to Rank for Financial Event Ranking

Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua

July 2021