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Tue, 6 Apr 2021 23:45:44 -0400
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*SIGIR 2021 Workshop on eCommerce (SIGIR eCom)*

*Call For Papers*
==================
SIGIR eCom is a full day virtual workshop taking place on Thursday,  July
15, 2021 in conjunction with SIGIR 2021.
*Workshop website:*  https://sigir-ecom.github.io/

*Important Dates:*
==================
- Submissions Due -  May 4, 2021
- Notification -  June 1, 2021
- Camera Ready Version of Papers Due -  June 15, 2021
- SIGIR eCom Full day Workshop -  July 15, 2021

*Details:*
==================
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. The theme of this year's workshop is fairness in search and
recommendation for eCommerce.

We invite quality research contributions, position and opinion papers
addressing relevant challenges in the domain of eCommerce. We invite
submission of papers and posters of two to ten pages (including
references), representing original research, preliminary research results,
proposals for new work, position and opinion papers. All submitted papers
and posters will be single-blind and will be peer reviewed by an
international program committee of researchers of high repute.  Accepted
submissions will be presented at the workshop.

*Topics of interest include, but are not limited to:*
====================================
• Ranking and Whole Page Relevance

– Diversity in product search and recommendations
– Relevance models for multi-faceted entities
– Relevance vs. revenue
– Ranking features and learning mechanisms
– Deterministic sorts (e.g. price low to high)
– Temporal dynamics and seasonality

• Query Understanding

– Query intent, query suggestions, and auto-completion
– Strategies for resolving low or zero recall queries
– Converting across modalities (e.g. text, structured data, images)

• Document Understanding

– Categorization and facets
– Reviews and sentiment analysis

• Recommendation and Personalization

– Personalization & contextualization, including the use of personal facets
such as age, gender, location
– Blending recommendations and search results

• Representations and Data

– Data engineering and provenance for eCommerce
– Semantic representation of products, queries, and customers
– Construction and use of knowledge graphs for eCommerce

• IR Fundamentals for eCommerce

– Cross-lingual search and machine translation
– Machine learning techniques for eCommerce applications
– Indexing and search in rapidly changing environments (e.g. auction sites)
– Experimentation techniques including AB testing and Multi-armed bandits

• Other challenges

– Trust and fairness in eCommerce
– UX for eCommerce
– The role of search in trust and security for marketplaces
– Question answering and chatbots for eCommerce

*Data/ Resource Track:*
==================
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.

*Submission Instructions:*
==================
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=sigirecom21

*Important Dates:*
==================
- Submissions Due -  May 10, 2021
- Notification -  June 1, 2021
- Camera Ready Version of Papers Due -  June 10, 2021
- SIGIR eCom Full day Workshop -  July 15, 2021

*SIGIR eCom* *Coveo Data Challenge:*
==================
The SIGIR eCom Data Challenge is organized by Coveo. Coveo is providing a
large dataset of customer behavior sessions from a mid-size eCommerce
domain. The task is to predict customer interactions. Advances in this
research area have been limited due to the lack of real data from eCommerce
companies. Making the data available will benefit researchers and
practitioners who have not had the opportunity to contribute their ideas
due to the previous lack of data. The Coveo dataset presents product level
data, coupled with search-based interactions and content-based information.
More details available soon at
https://github.com/coveooss/SIGIR-ecom-data-challenge.

*ORGANIZERS:*
==================
Surya Kallumadi                 Lowe's, USA
Tracy Holloway King           Adobe, USA
Shervin Malmasi                 Amazon, USA
Maarten de Rijke                 University of Amsterdam & Ahold Delhaize,
The Netherlands

*Workshop website:*  https://sigir-ecom.github.io/
Contact: Please direct all your queries to [log in to unmask] for help.

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