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 RecommendationsThe 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).
| 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: Building Reusable Datasets for Agentic IR in eCommerce - The TREC 2025 Product Search and Recommendations Track Abstract: (1) A Search task focusing on intelligent query expansion In this talk, we will detail our motivation, discuss task design, and highlight open research questions. By creating reusable, high-quality datasets, we aim to make reproducible progress in both product search and recommender systems. Chenxiang Zhai & Rikiya Takehi |
| 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: Benchmark Development for Evaluating Personalization in
Conversational AI Assistants Emine Yilmaz University College London |
| 3:30 pm | Coffee Break |
| 4:00 pm | Breakout Group Challenge + Presentation |
| 5:00 pm | Closing |
| Paper submission deadline | |
| Notification of acceptance | May 21, 2025 |
| SIGIR eCom Full day Workshop | July 17, 2025 |
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:
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
Make sure to sign up for an OpenReview account ahead of time!