Microsoft Research @ SIGIR 2017

Microsoft Research @ SIGIR 2017


The SIGIR (Special Interest Group on Information Retrieval) Conference on Research and Development in Information Retrieval (SIGIR 2017) is the premier international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval.

Microsoft is proud to be a silver sponsor of the 2017 SIGIR event in Tokyo, Japan on August 8–10, 2017.

Committee Chairs

  • Program Chair, Ryen White, Microsoft Cortana
  • Symposium on IR in practice (SIRIP) chair, Vanessa Murdock, Microsoft

Invited speakers


  • MAPping the Probability of Start-up Success
    August 10 @ 11:10 AM – 12:30 PM | 42F Fuji
    Speaker: David Hawking, Microsoft Bing
  • Search Without a Query – Powering Job Recommendations via Search Index at LinkedIn
    August 10 @ 11:10 AM – 12:30 PM | 42F Fuji
    Speakers: Dhruv Arya, LinkedIn; Ganesh Venkataraman, LinkedIn

Tutorials & Workshops



Accepted Papers

Long papers

Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model
Pengjie Ren, Shandong University; Zhumin Chen, Shandong University; Zhaochun Ren, Data Science Lab,; Furu Wei, Microsoft Research Asia; Jun Ma, Shandong University; Maarten de Rijke, University of Amsterdam

User Interaction Sequences for Search Satisfaction Prediction
Rishabh Mehrotra, University College London & Microsoft Research; Imed Zitouni, Microsoft; Ahmed Hassan, Microsoft Research; Ahmed El Kholy, Microsoft; Madian Khabsa, Microsoft Research

Deep Semantic Hashing with Generative Adversarial Networks
Zhaofan Qiu, University of Science and Technology of China; Yingwei Pan, University of Science and Technology of China; Ting Yao, Microsoft Research Asia; Tao Mei, Microsoft Research Asia

Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang, University of Massachusetts Amherst; Susan T. Dumais, Microsoft Research; Paul N. Bennett, Microsoft Research; Ahmed Hassan Awadallah, Microsoft Research

Understanding and Modeling Success in Email Search
Jinyoung Kim, Snap Inc.; Nick Craswell, Microsoft; Susan Dumais, Microsoft; Filip Radlinski, Microsoft; Fang Liu, Microsoft

Accounting for the Correspondence in Commented Data
Renqin Cai, University of Virginia; Chi Wang, Microsoft Research; Hongning Wang, University of Virginia

Retrieval Consistency in the Presence of Query Variations
Peter Bailey, Microsoft; Alistair Moffat, University of Melbourne; Falk Scholer, RMIT University

BitFunnel: Revisiting Signatures for Search
Bob Goodwin, Microsoft; Michael Hopcroft, Microsoft; Dan Luu, Microsoft; Alex Clemmer, Heptio; Mihaela Curmei, Microsoft; Sameh Elnikety, Microsoft; Yuxiong He, Microsoft

Word-Entity Duet Representations for Document Ranking
Chenyan Xiong, Carnegie Mellon University; Jamie Callan, Carnegie Mellon University; Tie-Yan Liu, Microsoft Research

Short papers

Improving Search Engines via Large-Scale Physiological Sensing
Ryen W. White, Microsoft Cortana; Ryan Ma, Microsoft Bing

LiveMaps – Converting Map Images into Interactive Maps
Michael R Evans, Microsoft; Dragomir Yankov, Microsoft; Pavel Berkhin, Microsoft; Pavel Yudin, Microsoft; Florin Teodorescu, Microsoft; Wei Wu, Microsoft

Sentence-level Sentiment Classification with Weak Supervision
Fangzhao Wu, Tsinghua University; Jia Zhang, Tsinghua University; Zhigang Yuan, Tsinghua University; Sixing Wu, Tsinghua University; Yongfeng Huang, Tsinghua University; Jun Yan, Microsoft Research Asia

Generalized Mixed Effect Models for Personalizing Job Search
Ankan Saha, LinkedIn Corporation; Dhruv Arya, LinkedIn Corporation

Luandri: A Clean Lua Interface to the Indri Search Engine
Bhaskar Mitra, Microsoft; Fernando Diaz, Spotify; Nick Craswell, Microsoft

Demo papers

Seeing Bot
Yingwei Pan, University of Science and Technology of China; Zhaofan Qiu, University of Science and Technology of China; Ting Yao, Microsoft Research Asia; Houqiang Li, University of Science and Technology of China; Tao Mei, Microsoft Research Asia