The following papers have been accepted at SIGIR eCom 2025:

Archival version of the proceedings published through CEUR

Workshop Papers

   1  . Lessons from the bleeding edge: large-scale production inference of LLMs  [PDF]
          Yubin Kim, Arthur Maciejewicz, Brandon Beveridge.
   2  . Elevating Style with MLLM-Enhanced, Outfit Recommendation System  [PDF]
          Sangeet Jaiswal, Gaurav Parashar, Sreekanth Vempati, Vijay Kumar.
   3  . AI Guided Accelerator For Search Experience  [PDF]
          Jayanth Yetukuri, Mehran Elyasi, Samarth Agrawal, Aritra Mandal, Shuang Zhou, RUI KONG, Harish Vempati, Ishita Kamal Khan.
   4  . A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies  [PDF]
          Jetlir Duraj, Ishita Kamal Khan, Kilian Merkelbach, Mehran Elyasi.
   5  . Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search  [PDF]
          Jayanth Yetukuri, Ishita Kamal Khan.
   6  . NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking  [PDF]
          Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, ZHE WU.
   7  . Lessons Learned from Applying Bayesian Optimization to Hyperparameter Tuning in Ad Selection  [PDF]
          Joobin Gharibshah, Mahmuda Rahman.
   8  . LLM-Augmented Machine Translation for Scalable, Context-Aware Cross-Lingual E-Commerce Search  [PDF]
          Nicole McNabb, Dayron Rizo-Rodriguez, Jesus Perez-Martin, Yuanliang Qu, Clement Ruin, Alina Sotolongo, Pankaj Adsul, Leonardo Lezcano.
   9  . A method to incorporate Temporal Seasonality into Search Ranking for Improved Relevance and User Engagement  [PDF]
          Shreya Mahapatra, Anandita Chopra, Liping Zhang, Shabhareesh Komirishetty, Tracy Holloway King.
   10  . Monotonic Fairness in Recommendation via Neural Additive Models with Contrastive Learning  [PDF]
          Yuchen Guo, Zhenqi Zhao, Menghan Wang.
   11  . Lookalike Audience Expansion: A Graph-Based Model with LLMs  [PDF]
          Rumana Ferdous Munne, Md Mostafizur Rahman, Yuji Matsumoto.
   12  . S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe  [PDF]
          Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Korpeoglu, Kannan Achan.
   13  . Selling Flow Enhancement by Early Product Categorization  [PDF]
          Gregory Goren, Ido Guy, Slava Novgorodov.
   14  . Practical Secondary Stack Optimization on Search Pages: A Lightweight Contextual Bandit Approach  [PDF]
          Eva C. Song, Jun Zhao, Junchao Zheng, Vivek Agrawal.
   15  . Improving Ad Matching via Cluster-Adaptive Keyword Expansion and Relevance Tuning  [PDF]
          Dipanwita Saha, Anis Zaman, Hua Zou, Ning Chen, Xinxin Shu, Nadia Vase, Abraham Bagherjeiran.
   16  . Shoppers Also Asked: Generating Related Questions for Search Result Pages of E-commerce Search Engines  [PDF]
          Saar Kuzi, Zhiyu Chen, Shervin Malmasi.
   17  . Towards Quality Ad Selection: A Model-based Approach to Performance Filtering  [PDF]
          Mandar S Chaudhary, Javad Nejati, Mahmuda Rahman, Gajanan Adalinge, Abraham Bagherjeiran.
   18  . Ad Ranking for Walmart Display Ads System  [PDF]
          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.
   19  . SEQ+MD: Learning Multi-Task as a SEQuence with Multi-Distribution Data  [PDF]
          Siqi Wang, Audrey Chen, Austin Clapp, Sheng-Min Shih, Xiaoting Zhao.