eCOM 2026
SIGIR Workshop on eCommerce 2026

Table of Contents

• Preface
  Summary: There were 29 papers submitted for peer review to this workshop. Out of these, 20 papers were accepted for presentation. Out of the 20 papers, this volume includes 19 papers that were submitted in the final CEUR-WS format - 17 as regular papers and 2 as short papers.

Accepted Papers

• A Bag-of-Documents Model for Query Specificity
  Aritra Mandal, Daniel Tunkelang, Zhe Wu
• INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce
  Shasvat Desai, Hong Yao, Utkarsh Porwal, Kuang-Chih Lee
• Route, Dont Guess: Adaptive Interaction Strategy Selection for Agentic Product Search
  Vinesh Gudla, Xiao Xiao, Ji Xin, Tejaswi Tenneti
• Improving Pointwise Predictions with a Pairwise Ranker
  Eric Hallman
• Scalable Visual Attribute Recognition in E-Commerce Products via Automated Synthetic Label Generation
  Victor Martinez, Virginia Negri, Brayan Impata, Sergio Alvarez
• To RAG or Not to RAG? Rethinking Multilingual Spelling Correction at Global Scale
  Naman Jain
• Problem Formulation over Feature Engineering: Evidence from a Production Reranking System in a C2C Marketplace
  Ryo Watanabe, Yusuke Shido, Ryo Tanaka, Yuki Yada, Shinya Yaginuma
• Robust HNSW Vector Retrieval under Dynamic Product Updates via Local Rewiring
  Anurag Sengupta
• Product-Aware Architectures for Conversion Rate Prediction in E-Commerce Advertising
  Aditya Chichani, Ameya Raul, Amey Porobo Dharwadker, Saurabh Gupta
• AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search
  Md Omar Faruk Rokon, Shasvat Desai, Hong Yao, Kuang-Chih Lee
• Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search
  Md Omar Faruk Rokon, Shasvat Desai, Jhalak Nilesh Acharya, Isha Shah, Kumar Priyam, Brahanyaa Somasundaram, Vamsee Tangirala, Minuteresa Thomas, Vivek Arora, Vijay Manchi, Hong Yao, Kuang-Chih Lee
• Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders
  Md Omar Faruk Rokon, Jhalak Nilesh Acharya, Shasvat Desai, Hong Yao, Kuang-Chih Lee
• Agentic Prompt Optimization for E-Commerce Catalog Enrichment at Scale
  Peng Gao, Athanasios N. Nikolakopoulos, Zhu Cheng, Andrea Scarinci, Umit Batur, Suleiman A. Khan
• Structured & Tiered Agentic Response Evaluation (STARe): LLM-Judge Framework for Conversational Shopping Agents
  Akash Kumar Singh, Digvijay Singh Bhadouria, Flint Luu, Pierre Yves Vandenbussche, Pinchu Sabu, Sanket Thapliyal, Vikram Vishal Singh, Vishal Shivhare, Wenjia Xie
• Pekka: MLLM-based Product Representation Learning with User Engagement Signals for E-Commerce
  Rui Yan, Kevin Huang, Miao Li, Zhenyuan Liu, Mina Ghashami, Michael Schlichtkrull, Miguel Arduengo, Wenliang Gao, Bella Shi, Michael Du, Fan Xia, Zhaoheng Zheng, I-Ta Lee, Minghai Chen, Yash Desai, Rana Alkhoury Maroun, Yugandhar Nanda, Weijian Han, Dongxin Liu, Santiago Villa Fernandez, Jack Wang, Guang Yang, Saurabh Gupta, Moji Solgi, Ben Schulte, Deepak Chandra, Damien Lefortier
• LoSparse: Low-dimensional Sparse Retrieval Model
  Kohei Uno, Shogo Kisa, Yohei Iseki
• CaptionFuse: Training-Free Composed Product Retrieval Via VLM Intent Captioning and Weighted Embedding Fusion
  Zhao Gao, Mina Metias, Mohamed Noordeen Alaudeen, Bassel Saleh
• Bottoms, Towers and Tops: Evaluating Component Interactions in Multi-Task Learning for E-Commerce
  Piotr Bajger, Aleksander Wawer, Wojciech Kutak
• Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search
  Greg Kocher, Sanjana Arun