This proceedings contains the accepted papers of the SIGIR 2017 Workshop on eCommerce (ECOM17), a full day workshop that took place on Friday, August 11, 2017 in Tokyo, Japan. The workshop was held in conjunction with SIGIR 2017. The purpose of the workshop was to serve as a platform for publication and discussion of Information Retrieval and NLP research and their applications in the domain of eCommerce. eCommerce Information Retrieval has received little attention in the academic literature, yet it is an essential component of some of the largest web sites (such as eBay, Amazon, Airbnb, Alibaba, Taobao, Target, Facebook, and others). The SIGIR 2017 Workshop on eCommerce (ECOM17) brought together researchers and practitioners of eCommerce IR to discuss topics unique to it, to set a research agenda going forward, and to examine how to build a data set for research. Our primary motivation as organizers of this workshop was to create a community and act as a forum to discuss interesting research challenges in the eCommerce domain.
PROGRAM COMMITTEE Sumit Borar, Myntra Fashion, India Simon Corston-Oliver, Amazon, USA Tracy Holloway King, Amazon A9, USA Saratchandra Indrakanti, eBay inc., USA Rolf Jagerman, University of Amsterdam, The Netherlands Mohit Kumar, Flipkart, India Jun Lang, Alibaba inc.
Linlin Li, Alibaba inc.
Xinyi Li, University of Amsterdam, The Netherlands Zhao Li, Alibaba inc.
Weihua Luo, Alibaba inc Maarten Marx, University of Amsterdam, The Netherlands Long Qiu, Alibaba inc.
Chris Severs, Amazon A9, USA Ian Soboroff, NIST, USA Parikshit Sondhi, Walmart Labs, USA Christophe Van Gysel, University of Amsterdam, The Netherlands Nikos Voskarides, University of Amsterdam, The Netherlands Peng Xu, Ant Financial inc.
Ming Yan, Alibaba inc.
Huasha Zhao, Alibaba inc.