The following papers have been accepted at SIGIR eCom 2026:

Workshop Papers

   1  . A Bag-of-Documents Model for Query Specificity  [PDF]
          Aritra Mandal, Daniel Tunkelang and Zhe Wu.
   2  . INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce  [PDF]
          Shasvat Desai, Hong Yao, Utkarsh Porwal and Kuang-Chih Lee.
   3  . Route, Dont Guess: Adaptive Interaction Strategy Selection for Agentic Product Search  [PDF]
          Vinesh Gudla, Xiao Xiao, Ji Xin and Tejaswi Tenneti.
   4  . Improving Pointwise Predictions with a Pairwise Ranker  [PDF]
          Eric Hallman.
   5  . Scalable Visual Attribute Recognition in E-Commerce Products via Automated Synthetic Label Generation  [PDF]
          Victor Martinez, Virginia Negri, Brayan Impata and Sergio Alvarez.
   6  . To RAG or Not to RAG? Rethinking Multilingual Spelling Correction at Global Scale  [PDF]
          Naman Jain.
   7  . Problem Formulation over Feature Engineering: Evidence from a Production Reranking System in a C2C Marketplace  [PDF]
          Ryo Watanabe, Yuki Yada, Yusuke Shido, Shinya Yaginuma and Ryo Tanaka.
   8  . Robust HNSW Vector Retrieval under Dynamic Product Updates via Local Rewiring  [PDF]
          Anurag Sengupta.
   9  . Product-Aware Architectures for Conversion Rate Prediction in E-Commerce Advertising  [PDF]
          Aditya Chichani, Ameya Raul, Amey Dharwadker and Saurabh Gupta.
   10  . AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search  [PDF]
          Md Omar Faruk Rokon, Shasvat Desai, Hong Yao and Kuang-Chih Lee.
   11  . Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search  [PDF]
          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 and Kuang-Chih Lee.
   12  . Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders  [PDF]
          Md Omar Faruk Rokon, Jhalak Nilesh Acharya, Shasvat Desai, Hong Yao and Kuang-Chih Lee.
   13  . Agentic Prompt Optimization for E-Commerce Catalog Enrichment at Scale  [PDF]
          Peng Gao, Athanasios N. Nikolakopoulos, Zhu Cheng, Andrea Scarinci, Umit Batur and Suleiman Khan.
   14  . Structured & Tiered Agentic Response Evaluation (STARe): LLM-Judge Framework for Conversational Shopping Agents  [PDF]
          Akash Singh, Vishal Shivhare, Digvijay Bhadouria, Flint Luu, Pinchu Sabu, Vikram Singh, Sanket Thapliyal, Pierre Vandenbussche and Wenjia Xie.
   15  . Pekka: MLLM-based Product Representation Learning with User Engagement Signals for E-Commerce  [PDF]
          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 and Damien Lefortier.
   16  . Understanding and Improving Decision-Making UX in Conversational E-Commerce Agents via Evidence Selection  [PDF]
          Tianqi Liu.
   17  . LoSparse: Low-dimensional Sparse Retrieval Model  [PDF]
          Kohei Uno, Shogo Kisa and Yohei Iseki.
   18  . CaptionFuse: Training-Free Composed Product Retrieval Via VLM Intent Captioning and Weighted Embedding Fusion  [PDF]
          Zhao Gao, Mina Metias, Mohamed Noordeen Alaudeen and Bassel Saleh.
   19  . Bottoms, Towers and Tops: Evaluating Component Interactions in Multi-Task Learning for E-Commerce  [PDF]
          Piotr Bajger, Aleksander Wawer and Wojciech Kutak.
   20  . Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search  [PDF]
          Greg Kocher and Sanjana Arun.