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.
|Paper submission deadline(Deadline extended)||May 11, 2018 (11: 59 P.M. AoE)|
|Notification of acceptance||June 1, 2018|
|Camera Ready Version of Papers Due||June 18, 2018|
|SIGIR eCom Full day Workshop||July 12, 2018|
Topics of interest include, but are not limited to:
In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission.
All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template (LaTeX users use sample-sigconf.tex as a template).
Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.
Submissions to SIGIR eCom should be made at https://easychair.org/conferences/?conf=ecom18
The deadline for paper submission is May 11, 2018(11:59 P.M.AoE)