CFP - SIGIR 2024 Workshop on eCommerce
Call For Papers - SIGIR eCom'24 - https://sigir-ecom.github.io/
The SIGIR Workshop on eCommerce will serve as a platform for publication
and discussion of Information Retrieval, NLP and Vision research relative
to 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 deadline for paper submission is April 25, 2024 (11:59
P.M. AoE)
The special theme of this year's workshop is eCommerce Search in the Age of
Generative AI and LLMs.
The workshop will also include a data challenge. This year we will
collaborate with TREC on a product search data challenge (
https://trec-product-search.github.io/index.html). The overarching goal is
to study how end-to-end retrieval systems can be built and evaluated given
a large set of products. The data challenge provides a corpus of products
and a set of user intents (queries): the goal is to find the product that
suits the user’s needs.
SIGIR eCom is a full day workshop taking place on Thursday, July 18, 2024
in conjunction with SIGIR 2024. SIGIR eCom'24 will be an in-person workshop.
Important Dates:
Paper submission deadline - April 25, 2024 (11:59 P.M. AoE)
Notification of acceptance - May 23, 2024
Camera Ready Version of Papers Due - June 24, 2024
SIGIR eCom Full day Workshop - July 18, 2024
We invite quality research contributions, position and opinion papers
addressing relevant challenges in the domain of eCommerce. We invite
submission of both papers and posters. 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:
Topics of interest include, but are not limited to:
eCommerce search in the age of Generative AI and LLMs (2024 special
theme)
Ranking and Whole Page Relevance
Optimization for IR and business metrics
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Diversity in product search and recommendations
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Relevance models for multi-faceted entities
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Relevance vs. revenue
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Deterministic sorts (e.g. price low to high)
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Temporal dynamics and seasonality
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Query and Document Understanding
Query intent, query suggestions, and auto-completion
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Strategies for resolving low or zero recall queries
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Converting across modalities (e.g., text, structured data, images)
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Categorization and facets
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Reviews and sentiment analysis
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Recommendation and Personalization
Personalization & contextualization, including the use of personal
facets such as age, gender, location
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Privacy, bias and ethics in eCommerce IR
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Blending recommendations and search results
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Representations and Data
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Semantic representation of products, queries, and customers
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Construction and use of knowledge graphs for eCommerce
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IR Fundamentals for eCommerce
Unified and universal search and recommendations
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Cross-lingual search and machine translation
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Indexing and search in rapidly changing environments (e.g., auction
sites)
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Experimentation techniques including AB testing and multi-armed
bandits
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Visual Search in ecommerce
Large-scale Visual Search Challenges and Solutions
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Multimodal Search and combining visual and textual information
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Combining Vision and language models
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Explainable AI for Visual Search
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Other challenges
Trust, transparency, and fairness in eCommerce
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UX for eCommerce
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The role of search in trust and security for marketplaces
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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.
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. The workshop follows a
single-blind reviewing process, i.e. author names must be on the papers. We
do not accept anonymized submissions. At least one of the authors of each
accepted paper must register for the workshop and present the paper.
All submissions must be in PDF formatted according to the latest CEUR
single column format; the short (8-page) and long (15-page) limits are
extended to account for this. For instructions and LaTeX/Overleaf/docx
templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART Read up to and
including the “License footnote in paper PDFs” section. Please Use
Emphasizing Capitalized Style for Paper Titles. Submit your paper PDF
through the SIGIR eCom’24 Easychair:
https://easychair.org/conferences/?conf=sigirecom24
Long paper limit: 15 pages. References are not counted in the page limit.
Short paper limit: 8 pages. References are not counted in the page limit.
The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE)