Accepted Workshop Papers now available
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 25, 2019 in conjunction with SIGIR 2019 in Paris, France.
Dr. Eugene Agichtein is a Winship Associate Professor of Computer Science at Emory University in Atlanta, USA, where he leads the Intelligent Information Access Laboratory (IR Lab). Since January 2019, he has been a part-time "Amazon Scholar” at Amazon. Eugene's research spans the areas of information retrieval, natural language processing, data mining, and human computer interaction, most recently focusing on conversational search. Together with great colleagues and students, Eugene published over 100 papers, and has been recognized by multiple awards, including the A.P. Sloan fellowship and the 2013 Karen Spark Jones Award from the British Computer Society, and "test of time" awards from the SIGIR and WSDM conference. He was Program Co-Chair of the WSDM 2012 and WWW 2017 conferences.
Dr. Xin Luna Dong is a Principal Scientist at Amazon, leading the efforts of constructing Amazon Product Knowledge Graph. She was one of the major contributors to the Google Knowledge Vault project, and has led the Knowledge-based Trust project, which is called the “Google Truth Machine” by Washington’s Post. She has co-authored book “Big Data Integration”, was awarded ACM Distinguished Member, VLDB Early Career Research Contribution Award for "advancing the state of the art of knowledge fusion", and Best Demo award in Sigmod 2005. She serves in VLDB endowment and PVLDB advisory committee, and is a PC co-chair for VLDB 2021, ICDE Industry 2019, VLDB Tutorial 2019, Sigmod 2018 and WAIM 2015.
The Home Depot
University of Waterloo
|Xin Luna Dong
|8:55 am||Opening Remarks|
Modeling Explicit and Implicit User Behavior for Finding Answers on the Web
|9:50 am||Contributed Talk
Multi-objective Relevance Ranking
Michinari Momma, Alireza Bagheri Garakani and Yi Sun
|10:10 am||Contributed Talk
Learning Embeddings for Product Size Recommendations
Kallirroi Dogani, Matteo Tomassetti, Saúl Vargas, Ben Chamberlain and Sofie de Cnudde
|10:30 am||Coffee Break|
|11:00 am||Contributed Talk
Leverage Implicit Feedback for Context-aware Product Search
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan and W. Bruce Croft
|11:20 am||Short Talks: Ideas & Insights
|12:30 pm||Lunch Break
Building a Broad Knowledge Graph for Products
Xin Luna Dong
|2:15 pm||Panel Discussion
Ecommerce Discovery vs Web Search: Same or Different?
Vanessa Murdock Amazon, USA
Estelle Afshar The Home Depot, USA
David Carmel Amazon, Israel
Charles Clarke University of Waterloo, Canada
Xin Luna Dong Amazon, USA
|3:00 pm||Coffee Break|
||Report on SIGIR eCom'19 High Accuracy Recall Task
|3:50 pm||Group Discussion|
|4:05 pm||Poster Session|