The 2024 SIGIR Workshop On eCommerce


Washington, D.C.



    Previous editions: SIGIReCom'23 | SIGIReCom'22 |SIGIReCom'21 |SIGIReCom'20 | SIGIReCom'19 | SIGIReCom'18 | SIGIReCom'17

    SIGIR eCom'23 Workshop Proceedings

    SIGIR Forum Article - Challenges and Research Opportunities in eCommerce Search and Recommendations

    The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs

Overview

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 May 3.2024 (11:59 P.M. AoE)

The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs.

Data Challenge: The workshop also includes a data challenge in collaboration with TREC product search track, 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. [Details will be out soon.]

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.


SIGIR eCom'24 Workshop Schedule

July 18, 2024 | Room: California
9:00 am EST Workshop Opening

9:10 am EST Keynote
Chirag Shah    University of Washington, USA
9:55 am EST Contributed Papers - Ranking

Counterfactual Learning to Rank via Knowledge Distillation
Ehsan Ebrahimzadeh, Alex Cozzi and Abraham Bagherjeiran

Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking
Qi Liu, Atul Singh, Jingbo Liu, Cun Mu, Zheng Yan and Jan Pedersen

Offline Multi-Objective Optimization (OMOO) in Search Page Layout Optimization Using Off-policy Evaluation
Pratik Lahiri, Zhou Qin and Wenyang Liu
10:30 am EST Coffee Break
11:00 am EST Data Track
Trec Product Search Track
Surya Kallumadi    Lowe's, USA

11:30 am EST Contributed Papers - Data and Model Enhancements

Product Reviews as Source for Extracting Product Information - Lessons Learned
Kunal Kunal, Norbert Fuhr and Andrea Papenmeier

Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search
Kaihao Li, Juexin Lin and Tony Lee

SERGI: Similar Entity Retrieval using Grouped Images
Akshit Sarpal, Raviteja Uppalapati, Sayan Biswas, Rajesh Narasimha Reddy and Samrat Kokkula
12:00 pm EST Discussion

12:30 pm EST Lunch Break
1:30 pm EST Keynote
Rosie Jones    Spotify, USA
2:15 pm EST Contributed Papers - Queries & Catalogue Enrichment

Multimodal Learning with Online Text Cleaning for E-commerce Product Search
Zhizhang Hu, Shasha Li, Ming Du, Arnab Dhua and Douglas Gray

Semantic In-Domain Product Identification for Search Queries
Sanat Sharma, Jayant Kumar, Twisha Naik, Zhaoyu Lu, Arvind Srikantan and Tracy Holloway King

A Bespoke Question Intent Taxonomy for E-commerce
Diji Yang and Omar Alonso

Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search
Marie Al-Ghossein, Ching-Wei Chen and Jason Tang
3:00 pm EST Coffee Break
3:30 pm EST Contributed Papers - Ranking

Knowledge Distillation for Efficient and Effective Relevance Search on E-commerce
Nguyen Vo, Hongwei Shang, Zhen Yang, Juexin Lin, Seyed Danial Mohseni Taheri and Changsung Kang

Enhancement of E-commerce Sponsored Search Relevancy with LLM
Md Omar Faruk Rokon, Andrei Simion, Weizhi Du, Musen Wen, Hong Yao and Kuang-Chih Lee

Cooperative Multi-Agent Deep Reinforcement Learning In Content Ranking Optimization
Zhou Qin, Kai Yuan, Pratik Lahiri and Wenyang Liu
4:05 pm EST Panel Discussion
eCommerce search in the age of Generative AI and LLMs
Maarten de Rijke     University of Amsterdam, Netherlands
Vamsi Salaka     Amazon, USA
Tracy Holloway King     Adobe, USA
Yubin Kim     Vody, USA
Surya Kallumadi     Lowe's, USA
 

Important Dates

Paper submission deadline April 25, 2024 May 3, 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

Call For Papers

We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of eCommerce. We invite submission of papers and posters 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

         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
    -    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 and learning mechanisms (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
    -    Foundation models in 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
  • -    Trust and fairness in eCommerce 
    -    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 in PDF formatted according to the latest CEUR single column format available at https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw. 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.

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. We do not accept anonymized submissions. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper.

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.

Submissions to SIGIR eCom should be made at https://easychair.org/conferences/?conf=sigirecom24

The deadline for paper submission is May 3, 2024 (11: 59 P.M. AoE)