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Surya Kallumadi <[log in to unmask]>
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Surya Kallumadi <[log in to unmask]>
Thu, 23 Apr 2020 12:16:18 -0400
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*SIGIR 2020 Workshop on eCommerce (SIGIR eCom)*

*Call For Papers*
SIGIR eCom is a full day workshop taking place on Thursday,  July 30, 2020
in conjunction with SIGIR 2020 in Xi’an, China.
*Workshop website:*

*Important Dates:*
- Submissions Due -  May 25, 2020
- Notification -  June 15, 2020
- Camera Ready Version of Papers Due -  June 20, 2020
- SIGIR eCom Full day Workshop -  July 30, 2020

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

The theme of this year’s SIGIR eCommerce workshop is integrating
recommendations into search 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
- The balance between business requirements and customer requirements
(revenue vs. relevance)
- Ranking features (textual, image, structured data, customer behavior,
reviews, ratings, social signals, etc.)
- 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
- 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 Topics
- UX for eCommerce
- The role of search in trust and security for marketplaces
- Question answering and chat bots 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 (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.
Submissions to SIGIR eCom should be made at

*Important Dates:*
- Submissions Due -  May 25, 2020
- Notification -  June 15, 2020
- Camera Ready Version of Papers Due -  June 20, 2020
- SIGIR eCom Full day Workshop -  July 30, 2020

*Rakuten Data Challenge:*
The SIGIR eCom Data Challenge is organized by Rakuten Institute of
Technology - France, a dedicated R&D organization for the Rakuten group.
This challenge focuses on the topic of large-scale Multimodal Product
Classification and Retrieval where the goal is to predict each product’s
category as defined in the taxonomy tree given product's title,
description, and image. The cataloging of product listings through taxonomy
categorization is a fundamental problem for any e-commerce marketplace,
with applications ranging from personalized search, recommendations to
query understanding. More details available on the website.

Dietmar Jannach       University of Klagenfurt, Austria
Surya Kallumadi             The Home Depot, USA
Tracy Holloway King             Adobe, USA
Weihua Luo                      Alibaba, China
Shervin Malmasi                 Amazon, USA

*Workshop website:*
Contact: Please direct all your queries to [log in to unmask] for help.

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