Microsoft Research @ WSDM 2018

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
Yashoteja Prabhu (IIT Delhi), Shilpa Gopinath (Samsung Research India), Kunal Dahiya (IIT Delhi), Anil Kag (Microsoft), Shrutendra Harsola (Microsoft IDC Bangalore), Rahul Agrawal (Microsoft IDC Bangalore), Manik Varma (Microsoft)

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang (Shanghai Jiao Tong University), Fuzheng Zhang (Microsoft), Min Hou (University of Science and Technology of China), Xing Xie (Microsoft), Minyi Guo (Shanghai Jiao Tong University), Qi Liu (USTC)

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
Ziniu Hu (Peking University), Weiqing Liu (Microsoft), Jiang Bian (Microsoft), Xuanzhe Liu (Peking University), Tie-Yan Liu (Microsoft)

Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
Tobias Schnabel (Cornell University), Paul Bennett (Microsoft), Susan Dumais (Microsoft), Thorsten Joachims (Cornell University, Dept. of Computer Science)

Neural Ranking Models with Multiple Document Fields
Hamed Zamani (University of Massachusetts Amherst), Bhaskar Mitra (Microsoft), Xia Song (Microsoft), Nick Craswell (Microsoft), Saurabh Tiwary (Microsoft)