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Subject:
From:
Surya Kallumadi <[log in to unmask]>
Reply To:
Surya Kallumadi <[log in to unmask]>
Date:
Thu, 3 May 2018 00:51:36 -0500
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*Submission deadline for the workshop has been extended to May 11, 2018.*

*SIGIR 2018 Workshop on eCommerce*

*Call For Papers*

SIGIR eCom is a full day workshop taking place on Thursday,  July 12, 2018
in conjunction with SIGIR 2018 in Ann Arbor, Michigan, USA.

*Workshop website:*  https://sigir-ecom.github.io/

*Important Dates:*

Submissions Due -  May 11, 2018
Notification -  May 25, 2018
Camera Ready Version of Papers Due -  June 8, 2018
SIGIR eCom Full day Workshop -  July 12, 2018

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.

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:*

   * Machine learning techniques such as online learning and deep learning
for eCommerce applications
   * Semantic representation for users, products and services & Semantic
understanding of queries
   * Structured data and faceted search, converting unstructured data to
its structured form
   * The use of domain specific facets in search and other IR tasks, and
how those facets are chosen
   * Temporal dynamics for Search and Recommendation
   * Models for relevance and ranking for multi-faceted entities
   * Deterministic (and other) sorting of results lists (e.g. price low to
high including postage)
   * Personalized search and recommendations
   * Inventory display issues (for example: legal, ethical, and spam)
   * Cold start issues
   * Personalization and the use of personal facets such as age, gender,
location etc.
   * Indexing and search in a rapidly changing environment (for example, an
auction site)
   * Scalability
   * Diversity in product search and recommendations
   * Session aware and session oriented search and recommendation
   * Inventory display issues (for example: legal, ethical, and spam)
   * Cold start issues
   * Personalization and the use of personal facets such as age, gender,
location etc.
   * Indexing efficiency incorporating structured product data and catalog
information
   * Indexing and search in a rapidly changing environment (for example, an
auction site)
   * Scalability
   * Diversity in product search and recommendations
   * Strategies for resolving extremely low (or no) recall queries
   * Query intent
   * Semantic understanding of queries
   * The use of external features such as reviews and ratings in ranking
   * User interfaces and personalization
   * Reviews and sentiment analysis
   * The use of social signals in ranking and beyond
   * The balance between business requirements and user requirements
(revenue vs relevance)
   * Trust
   * Live experimentation
   * Desktop and mobile issues
   * Question and answering, chatbots for eCommerce
   * Conversational commerce: shopping using voice assistants such as
Amazon Alexa and Google Now
   * Fashion 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/confe
rences/?conf=ecom18

The deadline for paper submission is *May 11, 2018*

*ORGANIZERS:*

     Jon Degenhardt             eBay inc., USA
     Giuseppe Di Fabbrizio      Rakuten, USA
     Surya Kallumadi            Kansas State University, USA
     Andrew Trotman             University of Otago, NZ
     Yiu-Chang Lin              Rakuten, USA
     Mohit Kumar                Flipkart, India
     Huasha Zhao                Alibaba, USA

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

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