eCOM 2025
eCommerce 2025

Table of Contents

• Preface
  Summary: There were 28 papers submitted for peer review to this workshop. Out of these, 19 papers were accepted for presentation. Out of the 19 papers, this volume includes 16 papers that were submitted in the final CEUR-WS format - 10 as regular papers and 6 as short papers.

Accepted Papers

• Lessons from the bleeding edge: large-scale production inference of LLMs
  Yubin Kim , Arthur Maciejewicz , Brandon Beveridge
• AI Guided Accelerator For Search Experience
  Jayanth Yetukuri , Mehran Elyasi , Samarth Agrawal , Aritra Mandal , Shuang Zhou , RUI KONG , Harish Vempati , Ishita Kamal Khan
• A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies
  Jetlir Duraj , Ishita Kamal Khan , Kilian Merkelbach , Mehran Elyasi
• NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking
  Shenbin Qian , Diptesh Kanojia , Samarth Agrawal , Hadeel Saadany , Swapnil Bhosale , Constantin Orasan , ZHE WU
• 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
• 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
• Monotonic Fairness in Recommendation via Neural Additive Models with Contrastive Learning
  Yuchen Guo , Zhenqi Zhao , Menghan Wang
• Lookalike Audience Expansion: A Graph-Based Model with LLMs
  Rumana Ferdous Munne , Md Mostafizur Rahman , Yuji Matsumoto
• S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe
  Yanan Cao , Omid Memarrast , Shiqin Cai , Sinduja Subramaniam , Evren Korpeoglu , Kannan Achan
• Selling Flow Enhancement by Early Product Categorization
  Gregory Goren , Ido Guy , Slava Novgorodov
• Practical Secondary Stack Optimization on Search Pages: A Lightweight Contextual Bandit Approach
  Eva C. Song , Jun Zhao , Junchao Zheng , Vivek Agrawal
• 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
• Shoppers Also Asked: Generating Related Questions for E-commerce Search
  Saar Kuzi , Zhiyu Chen , Shervin Malmasi
• Towards Quality Ad Selection: A Model-based Approach to Performance Filtering
  Mandar S Chaudhary , Javad Nejati , Mahmuda Rahman , Gajanan Adalinge , Abraham Bagherjeiran
• 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
• SEQ+MD: Learning Multi-Task as a SEQuence with Multi-Distribution Data
  Siqi Wang , Audrey Chen , Austin Clapp , Sheng-Min Shih , Xiaoting Zhao