The following papers have been accepted at SIGIR eCom 2024:

Workshop Papers
       1  . Counterfactual Learning to Rank via Knowledge Distillation  [PDF]
              Ehsan Ebrahimzadeh, Alex Cozzi and Abraham Bagherjeiran.
       2  . Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking  [PDF]
              Qi Liu, Atul Singh, Jingbo Liu, Cun Mu, Zheng Yan and Jan Pedersen.
       3  . Knowledge Distillation for Efficient and Effective Relevance Search on E-commerce  [PDF]
              Nguyen Vo, Hongwei Shang, Zhen Yang, Juexin Lin, Seyed Danial Mohseni Taheri and Changsung Kang.
       4  . Semantic In-Domain Product Identification for Search Queries  [PDF]
              Sanat Sharma, Jayant Kumar, Twisha Naik, Zhaoyu Lu, Arvind Srikantan and Tracy Holloway King.
       5 . Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search  [PDF]
              Kaihao Li, Juexin Lin and Tony Lee.
       6 . Cooperative Multi-Agent Deep Reinforcement Learning In Content Ranking Optimization  [PDF]
              Zhou Qin, Yuan Kai, Pratik Lahiri and Wenyang Liu.
       7 . Multimodal Learning with Online Text Cleaning for E-commerce Product Search  [PDF]
              Zhizhang Hu, Shasha Li, Ming Du, Arnab Dhua and Douglas Gray.
       8 . Product Reviews as Source for Extracting Product Information - Lessons Learned  [PDF]
              Kunal Kunal, Norbert Fuhr and Andrea Papenmeier.
       9 . SERGI: Similar Entity Retrieval using Grouped Images  [PDF]
              Akshit Sarpal, Raviteja Uppalapati, Sayan Biswas, Rajesh Narasimha Reddy and Samrat Kokkula.
       10 . Enhancement of E-commerce Sponsored Search Relevancy with LLM  [PDF]
              Md Omar Faruk Rokon, Andrei Simion, Weizhi Du, Musen Wen, Hong Yao and Kuang-Chih Lee.
       11 . A Bespoke Question Intent Taxonomy for E-commerce  [PDF]
              Diji Yang and Omar Alonso.
       12 . Extreme Multi-label Query Classification for E-commerce  [PDF]
              Giuseppe Di Fabbrizio, Evgeny Stepanov and Filippo Tessaro.
       13 . Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search  [PDF]
              Marie Al-Ghossein, Ching-Wei Chen and Jason Tang.
       14 . Offline Multi-Objective Optimization (OMOO) in Search Page Layout Optimization Using Off-policy Evaluation  [PDF]
              Pratik Lahiri, Zhou Qin and Wenyang Liu.
       15 . Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) -Based GenAI  [PDF]
              Md Omar Faruk Rokon, Weizhi Du, Zhaodong Wang and Musen Wen.