The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval and NLP research & their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce.
SIGIR eCom is a full day workshop taking place on Thursday, July 12, 2018 in conjunction with SIGIR 2018 in Ann Arbor, Michigan, USA.
Liangjie Hong is the Head of Data Science at Etsy Inc. He drives Machine Learning and Data Science vision at Etsy and delivers cutting-edge scientific solutions for Search & Discovery, Personalization & Recommendation and Computational Advertising by utilizing a wide range of technologies including deep learning, probabilistic modeling, image understanding (computer vision), user profiling, query understanding, text mining and others. Previously, he was Senior Manager of Research at Yahoo Research from 2013 to 2016, leading science efforts for Personalization and Search Sciences. Prior to Yahoo Research, he obtained his Ph.D. from Lehigh University.
Vanessa Murdock leads a research group at Amazon Research, whose focus is personalization and recommender systems. Previously, she worked in an eCommerce group at Microsoft as Principal Data Scientist, leading a research team that developed ML techniques for account attribution, advertising, and device fingerprinting. Prior to Microsoft, Murdock worked at Yahoo! Research in Barcelona, Spain where she led the Geographic Context and Experience Group, doing research on topics related to geographic information retrieval and user-generated content. She has been awarded 15 patents, and has more than 30 patent applications pending, resulting in a Master Inventor Award from Yahoo! (2012). She received the OAA Award for Outstanding Achievement by a Young Alum from the University of Massachusetts in 2014. She has more than 50 publications in the area of Information Retrieval. Murdock received a Ph.D. in Computer Science from the University of Massachusetts Amherst in 2006.
University of Amsterdam
University of Melbourne
|8:55 am||Opening Remarks|
Search For E-Commerce: (Not) Solved (Yet)
|9:45 am||Contributed Talk - Paper 1
Towards a simplified ontology for better e-commerce search
Aliasgar Kutiyanawala, Prateek Verma and Zheng Yan
|10:05 am||Coffee Break|
||Contributed Talk - Paper 2
Did We Get It Right? Predicting Query Performance in E-commerce Search
Rohan Kumar, Mohit Kumar, Neil Shah and Christos Faloutsos
||Breakout Session Reports|
|12:00 pm||Lunch Break
(Lunch not Provided)
Future Directions in Alexa Shopping Research
|2:15 pm||Panel Discussion
Which technologies will drive eCommerce in the near future?
Jaap Kamps University of Amsterdam, The Netherlands
Grant Ingersoll Lucid Works, USA
Vanessa Murdock Amazon, USA
Alistair Moffat University of Melbourne, Australia
Mohit Sharma Walmart Labs, USA
|3:00 pm||Coffee Break|
||Report on SIGIR eCom'18 Rakuten Data Challenge
|3:40 pm||Poster Pitch|
In Room 4 (Floor 1)