WSDM 2017

WSDM is one of the premier conferences on web inspired research involving search and data mining, with an emphasis on practical yet principled novel models, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance. The 2017 program included three keynotes, four invited talks for Practice & Experience Track, paper presentations, four workshops, three tutorials, a doctoral consortium and a Startup Day.

Bloomberg is proud to have been a sponsor of this event and to have our very own, Amanda Stent, co-author “Lightweight Multilingual Entity Extraction and Linking”. Her work was accepted by the WSDM committee this year.