2025 SIGIR Workshop on eCommerce


Padua, Italy


Previous editions: SIGIReCom'24 | SIGIReCom'23 | SIGIReCom'22 | SIGIReCom'21 | SIGIReCom'20 | SIGIReCom'19 | SIGIReCom'18 | SIGIReCom'17

The special theme of this year's workshop is From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations

Overview

The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP, and Computer 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.

Recently, the rapid evolution of emerging technologies, including large language models (LLMs) and generative AI, has introduced fresh opportunities and challenges for eCommerce search and recommendations. As many organizations race to adopt new technology, the knowledge required to tackle the practical challenges of productionization risks becoming siloed. Avoiding this requires continued dialogue between IR academia and industry, and across various eCommerce organizations. The goal of our workshop is to bridge these gaps and foster collaboration for this crucial exchange of information.

To support this goal, the special theme of ECOM25 is From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations.

SIGIR eCom is a full day workshop taking place on Thursday, July 17, 2025 in conjunction with SIGIR 2025 . SIGIR eCom'25 will be an in-person workshop and follows the main conference in-presence policy. If you have extenuating circumstances that prevent travel, please contact us (contact information at bottom of page).

SIGIR eCom'25 Workshop Schedule

July 17, 2025 | Room: TBD
9:00 am Workshop Opening
9:15 am Panel: From Research to Product
Moderator: Tracy Holloway King
Panelists: Neil Shah,  Andrew Trotman ,  Yubin Kim,  Pallavi Gudipati
10:00 am Coffee Break
10:30 am Oral Presentations (6 × 12 min)

SEQ+MD: Learning Multi-Task as a SEQuence with Multi-Distribution Data
Siqi Wang, Audrey Chen, Austin Clapp, Sheng-Min Shih, Xiaoting Zhao     Etsy, USA

Practical Secondary Stack Optimization on Search Pages: A Lightweight Contextual Bandit Approach
Eva C. Song, Jun Zhao, Junchao Zheng, Vivek Agrawal     Walmart, USA

Selling Flow Enhancement by Early Product Categorization
Gregory Goren, Ido Guy, Slava Novgorodov     eBay, Ben-Gurion University of the Negev, Tel Aviv University

A Method to Incorporate Temporal Seasonality into Search Ranking for Improved Relevance and User Engagement
Shreya Mahapatra, Anandita Chopra, Liping Zhang, Shabhareesh Komirishetty, Tracy Holloway King     Adobe USA & India

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
Jayanth Yetukuri, Ishita Kamal Khan     eBay, USA

A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies
Jetlir Duraj, Ishita Khan, Kilian Merkelbach, Mehran Elyasi     eBay USA & eBay Germany
11:45 am Invited Talk: TREC25 Product Search, Recommendations, and Agentic Patterns
Chenxiang Zhai, Rikiya Takehi, Surya Kallumadi
12:30 pm Lunch Break (Informal table topics: 12:45–1:30)
1:30 pm Poster Teasers (12 × 1 min)

Ad Ranking for Walmart Display Ads System
Fan Yang, Weijie Yuan, Nahid Anwar, Braden Huffman, Fangping Huang, Lichun Chen, Konstantin Shmakov, Sunil Goda, James Jung, Niranjana Moleyar, Xiaobo Peng, Kuang-chih Lee, Musen Wen     Walmart, USA

Towards Quality Ad Selection: A Model-based Approach to Performance Filtering
Mandar S. Chaudhary, Javad Nejati, Mahmuda Rahman, Gajanan Adalinge, Abraham Bagherjeiran     eBay, USA

Shoppers Also Asked: Generating Related Questions for Search Result Pages of E-commerce Search Engines
Saar Kuzi, Zhiyu Chen, Shervin Malmasi     Amazon, USA

Improving Ad Matching via Cluster-Adaptive Keyword Expansion and Relevance Tuning
Dipanwita Saha, Anis Zaman, Hua Zou, Ning Chen, Xinxin Shu, Nadia Vase, Abraham Bagherjeiran     eBay, USA

S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe
Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Korpeoglu, Kannan Achan     Walmart, USA

Lookalike Audience Expansion: A Graph-Based Model with LLMs
Rumana Ferdous Munne, Md Mostafizur Rahman, Yuji Matsumoto     RIKEN-AIP & Rakuten, Japan

Monotonic Fairness in Recommendation via Neural Additive Models with Contrastive Learning
Yuchen Guo, Zhenqi Zhao, Menghan Wang     eBay & Coupang

LLM-Augmented Machine Translation for Scalable, Context-Aware Cross-Lingual E-Commerce Search
Nicole McNabb, Dayron Rizo-Rodriguez, Jesus Perez-Martin, Yuanliang Qu, Clement Ruin, Alina Sotolongo, Pankaj Adsul, Leonardo Lezcano     Walmart, USA

Lessons Learned from Applying Bayesian Optimization to Hyperparameter Tuning in Ad Selection
Joobin Gharibshah, Mahmuda Rahman     eBay, USA

NEAR^2: A Nested Embedding Approach to Efficient Product Retrieval and Ranking
Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu     Univ. of Surrey, eBay USA, Birmingham City University

AI Guided Accelerator for Search Experience
Jayanth Yetukuri, Mehran Elyasi, Samarth Agrawal, Aritra Mandal, Shuang Zhou, Rui Kong, Harish Vempati, Ishita Khan     eBay, USA

Elevating Style with MLLM-Enhanced, Outfit Recommendation System
Sangeet Jaiswal, Gaurav Parashar, Sreekanth Vempati, Vijay Kumar     Myntra, India

Lessons from the Bleeding Edge: Large-Scale Production Inference of LLMs
Yubin Kim, Arthur Maciejewicz, Brandon Beveridge     Vody, USA
1:45 pm Poster Session
2:30 pm Invited Talk
Emine Yilmaz     University College London
3:30 pm Coffee Break
4:00 pm Breakout Group Challenge + Presentation
5:00 pm Closing
 

Important Dates

Paper submission deadline April 23, 2025 April 30, 2025 (11: 59 P.M. AoE)
Notification of acceptance May 21, 2025
SIGIR eCom Full day Workshop July 17, 2025

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 of interest include, but are not limited to:

  • From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations. (2025 special theme)
    • Solutions to practical challenges encountered while translating research into scalable products
    • Lessons from tackling irreproducibility while implementing well-known research papers into industrial eCommerce search and recommendation systems
    • Emerging trends in eCommerce IR, such as multimodality, customer lifetime value considerations, and online and offline usage of LLMs
    • Evaluating production effectiveness, measuring business impact, monitoring the quality of production models
  • Ranking and Whole Page Relevance (WPR)
    • Optimization for IR and business metrics
    • Diversity in product search and recommendations
    • Relevance models for multi-faceted entities
    • Relevance vs. revenue
    • Deterministic sorts (e.g. price low to high)
    • Temporal dynamics and seasonality
  • Query and Document Understanding
    • Query intent, query suggestions, and auto-completion
    • Strategies for resolving low or zero recall queries
    • Cross-modal search (e.g., text, structured data, images)
    • Categorization and facets
    • Reviews and sentiment analysis
  • Recommendation and Personalization
    • Personalization & contextualization
    • Privacy, bias and ethics in eCommerce IR
    • Blending recommendations, sponsored products 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
    • Unified and universal search and recommendations
    • Cross-lingual search and machine translation
    • Indexing and search in rapidly changing environments (e.g., auction sites)
    • Experimentation techniques including AB testing and multi-armed bandits
  • Other challenges
    • Trust, transparency, and fairness in eCommerce
    • UX for eCommerce
    • Question answering and chatbots for eCommerce

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.
  • Double check \copyrightyear{2025} for the correct year
  • Use the following conference name styling: \conference{ECOM'25: SIGIR Workshop on eCommerce, Jul 17, 2025, Padua, Italy}
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 through OpenReview at: https://openreview.net/group?id=ACM.org/SIGIR/2025/Workshop/eCom

Make sure to sign up for an OpenReview account ahead of time!

  • New profiles created without an institutional email will go through a moderation process that can take up to two weeks.
  • New profiles created with an institutional email will be activated automatically.