Microsoft @ The Web Conference 2019

Microsoft @ The Web Conference 2019

About

Microsoft is excited to be a diamond sponsor of The Web Conference May 13–17, 2019, in San Francisco, California. Stop by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.

Sponsorship and Partnership co-chair

Kuansan Wang

Program committee co-chair

Ryen White

Presentations

Demos

Wednesday, May 15, 2019 | 2:00 PM–3:00 PM

Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater and Ryen W. White

Oral presentations

Multi-task Feature Learning for Knowledge Graph Enhanced Recommendation

Wednesday, May 15, 2019 | 10:54 AM–11:18 AM | Grand Ballroom C

Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo

It’s almost like they’re trying to hide it: How User-Provided Image Descriptions Have Failed to Make Twitter Accessible

Wednesday, May 15, 2019 | 10:54 AM–11:18 AM | Seacliff A+B

Cole Gleason, Patrick Carrington, Cameron Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham

NetSMF: Large-scale Network Embedding as Sparse Matrix Factorization

Wednesday, May 15, 2019 | 11:42 AM–12:06 PM | Grand Ballroom B

Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

Forecasting U.S. Domestic Migration Using Internet Search Queries

Wednesday, May 15, 2019 | 12:06 PM–12:30 PM | Seacliff A+B

Allen Yilun Lin, Justin Cranshaw, Scott Counts

Exploring User Behavior in Email Re-Finding Tasks

Thursday, May 16, 2019 | 10:54 AM–11:18 AM | Grand Ballroom C

Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Hassan Awadallah, Milad Shokouhi

A First Look at Deep Learning Apps on Smartphones

Thursday, May 16, 2019 | 4:48 PM–5:12 PM | Grand Ballroom C

Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu

Bayesian Exploration with Heterogeneous Agents

Friday, May 17, 2019 | 11:42 AM–12:06 PM | Seacliff A+B

Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu

Tutorials

Deep Chit-Chat: Deep Learning for Chatbots

Monday, May 13, 2019 | 9:00 AM–12:30 PM

Organizers: Wei Wu, Rui Yan

The Practice of Labeling: everything you always wanted to know about labeling

Monday, May 13, 2019 | 9:00 AM–12:30 PM

Organizer: Omar Alonso

A/B Testing at Scale: Accelerating Software Innovation

Monday, May 13, 2019 | 2:00 PM–5:30 PM

Organizers: Somit Gupta, Ronny Kohavi, Alex Deng, Jeff Omhover, and Pawel Janowski

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned

Tuesday, May 14, 2019 | 9:00 AM–12:30 PM | Garden A

Co-organizers: Sarah Bird, Emre Kiciman

Representation Learning on Networks: Theories, Algorithms, and Applications

Tuesday, May 14, 2019 | 9:00 AM–12:30 PM | Grand Ballroom B

Co-organizer: Yuxiao Dong

Posters

Wednesday, May 15, 2019 | 2:00 PM–3:30 PM | Pacific Concourse

A Scalable Hybrid Research Paper Recommender Platform for Microsoft Academic

Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang

Diversity and Exploration in Social Learning

Nicole Immorlica, Jieming Mao, Christos Tzamos

End-to-end Entity Matching using Pre-trained Deep Models

Chen Zhao, Yeye He

Forecasting U.S. Domestic Migration Using Internet Search Queries

Allen Yilun Lin, Justin Cranshaw, Scott Counts

Gaps in Information Access in Social Networks

Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Knowledge Graph Convolutional Networks for Recommender Systems

Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie

Thursday, May 16, 2019 | 2:00 PM–3:30 PM | Pacific Concourse

Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie

Outage Prediction and Diagnosis for Cloud Service Systems

Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang

Exploring User Behavior in Email Re-Finding Tasks

Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Hassan Awadallah, Milad Shokouhi

Friday, May 17, 2019 | 2:00 PM–3:30 PM | Pacific Concourse

Studying Preferences and Concerns about Information Disclosure in Email Notifications

Yongsung Kim, Adam Fourney, Ece Kamar

A First Look at Deep Learning Apps on Smartphones

Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu

Learning Fast Matching Models from Weak Annotations

Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang

Bayesian Exploration with Heterogeneous Agents

Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu

Evaluating User Actions as a Proxy for Email Significance

Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher Lin, Milad Shokouhi, Susan Dumais

Tracks

Workshops

International Workshop of Deep Learning for Graphs and Structured Data Embedding

Monday, May 13, 2019 | 9:00 AM–12:30 PM | Bayview A

Organizers: Ling Chen, Yuxiao Dong, Bin Li, Fragkiskos D. Malliaros, Jie Tang, Michalis Vazirgiannis, Hui Xiong

AW4CITY 2019: 5th International Smart City Workshop

Monday, May 13, 2019 | 9:00 AM–12:30 PM | Bayview B

Keynote Speaker: Stephen Cohen

Accepted Paper: Leveraging AI and Sensor Fabrics to Evolve Smart City Solution Designs
William H. Money, Stephen Cohen

2019 WWW Workshop on Knowledge Graph Technology and Applications

Monday, May 13, 2019 | 9:00 AM–5:30 PM | Grand Ballroom B

Invited Speaker: Benjamin Han

Panelists: Kuansan Wang, Benjamin Han

Organizers: Huajun Chen, Ying Ding, Laura Dietz, Wendy Hall, James Hendler, Deborah McGuinness, Edgar Meij, Sam Molyneux, Varish Mulwad, Raghava Mutharaju, Jeff Z. Pan, Xiang Ren, Jie Tang, Alex Wade, Mengting Wan, Chenyan Xiong, Min Zhan

Workshop on the Intersection of Machine Learning and Mechanism Design (MDML’ 2019)

Monday, May 13, 2019 | 2:00 PM–5:30 PM

Invited Speaker: David Pennock

Search-Oriented Conversational AI (SCAI)

Tuesday, May 14, 2019 | 9:00 AM–12:30 PM | Seacliff A

Organizers: Julia Kiseleva, Jeff Dalton, Aleksandr Chuklin, and Mikhail Burtsev

9th Temporal Web Analytics Workshop (TempWeb)

Tuesday, May 14, 2019 | 9:00 AM–12:30 PM | Waterfront A

Program committee member: Omar Alonso

Keynote speaker: Omar Alonso

Accepted paper: The Power of Temporal Features for Classifying News Articles
Lukas Lange, Omar Alonso, Jannik Strötgen

ECNLP: First Workshop on e-Commerce and NLP

Tuesday, May 14, 2019 | 9:00 AM–5:30 PM | Pacific L

Accepted paper: Exploration of Product Search Intents via Clustering of Query Clusters
Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay

10th Latin American Web Conference LA-Web 2019

Tuesday, May 14, 2019 | 9:00 AM–6:00 PM | Marina Room

Program Committee member: Omar Alonso

Career Opportunities

Data & Applied Scientist 2

Type: Full-time

Lab/Location: Sunnyvale, California

We are looking for a Sr. Applied Scientist with R&D background to conduct research and development on intelligent search advertising system to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities, advertiser created campaigns and…

Principal Data Scientist

Type: Full-time

Lab/Location: Sunnyvale, California

A successful candidate should be passionate about advanced machine learning and NLP at web scale. They will play a key role to drive algorithmic and modeling improvement to the Bing advertising eco-system, analyze performance and…

Senior Data & Applied Scientist

Type: Full-time

Lab/Location: Bellevue, Washington

A successful candidate should be passionate about artificial intelligence and optimization at web scale. They will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and…

Principal Software Engineer

Type: Full-time

Lab/Location: Berkeley, California

The Semantic Machines group is working to reshape human-computer interaction with conversational AI in our three offices: Boston MA, Berkeley CA, and Bellevue WA. We’re looking for a principal software engineer to work hand-in-hand with our data and research teams to develop new approaches to solving…

Senior Software Engineer

Type: Full-time

Lab/Location: Berkeley, California; Bellevue, Washington; Boston, Massachusetts

We’re looking for folks with a passion for improving research and development infrastructure, including training clusters, deployment pipelines, and developer tooling. No experience with machine learning or natural language processing is required…

Researcher

Type: Full-time

Lab/Location: Berkeley, California

Semantic Machines is hiring a few extremely talented researchers to join our world-class team in Boston, MA, Bellevue, WA, and Berkeley, CA. Our team has advanced the state of the art in natural language processing, speech processing, deep learning, video game AI, and even computational historical linguistics…

Principal Applied Scientist

Type: Full-time

Lab/Location: Sunnyvale, California

We are looking for a Sr. applied scientist with deep R&D background to conduct research and development on intelligent search advertising system to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities…

Data & Applied Scientist

Type: Full-time

Lab/Location: Bellevue, Washington

A successful candidate should be passionate about advanced machine learning and NLP at web scale. They will play a key role to drive algorithmic and modeling improvement to the Bing advertising eco-system, analyze performance and identify opportunities based on…

Search all professional research positions at Microsoft

Microsoft works with the world’s best researchers, who move with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world’s toughest challenges and improve the lives of people everywhere. We seek research candidates with PhDs and a proven track record of…

Search all student research positions at Microsoft

Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides…