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The following papers have been accepted at SIGIR eCom 2019:

Workshop Papers

•    1. Leverage Implicit Feedback for Context-aware Product Search  [PDF]
        Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan and W. Bruce Croft
•    2. Learning Embeddings for Product Size Recommendations  [PDF]
        Kallirroi Dogani, Matteo Tomassetti, Saúl Vargas, Ben Chamberlain and Sofie de Cnudde
•    3. Multi-objective Relevance Ranking  [PDF]
        Michinari Momma, Alireza Bagheri Garakani and Yi Sun
•    4. Fashion Outfit Generation for E-commerce  [PDF]
        Elaine Bettaney, Stephen Hardwick, Benjamin Paul Chamberlain and Odysseas Zisimopoulos
•    5. Personalized Query Auto-Completion Through a Lightweight Representation of the User Context  [PDF]
        Manojkumar Rangasamy Kannadasan and Grigor Aslanyan
•    6. Learning to Diversify for E-commerce Search with Multi-Armed Bandit  [PDF]
        Anjan Goswami, Chengxiang Zhai and Prasant Mohapatra
•    7. System Design of Extreme Multi-label Query Classification using a Hybrid Model  [PDF]
        Xianjing Liu, Hejia Zhang, Mingkuan Liu and Alan Lu
•    8. Multi-Candidate Ranking Algorithm Based Spell Correction  [PDF]
        Chao Wang and Rongkai Zhao
•    9. Ranking sentences from product description & bullets for better search  [PDF]
        Prateek Verma, Aliasgar Kutiyanawala and Ke Shen
• 10. E-commerce Query Classification Using Product Taxonomy Mapping: A Transfer Learning Approach  [PDF]
        Michael Skinner and Surya Kallumadi
• 11. Improving Semantic Matching via Multi-Task Learning in E-Commerce  [PDF]
        Hongchun Zhang, Tianyi Wang, Xiaonan Meng and Yi Hu
• 12. Query Rewriting using Automatic Synonym Extraction for E-commerce Search  [PDF]
        Aritra Mandal, Ishita Khan and Prathyusha Senthil Kumar
• 13. PSAC: Context-based Purchase Prediction Framework via User's Sequential Actions  [PDF]
        Wei-Cheng Chen, Chih-Yu Wang, Su-Chen Lin, Alex Ou and Tzu-Chiang Liou
• 14. Spelling Correction as a Foreign Language  [PDF]
        Yingbo Zhou, Utkarsh Porwal and Roberto Konow
• 15. Production Ranking Systems: A Review  [PDF]
        Murium Iqbal, Nishan Subedi and Kamelia Aryafar
• 16. Unsupervised Construction of a Product Knowledge Graph  [PDF]
        Omar Alonso, Vasileios Kandylas and Rukmini Iyer
• 17. Closing the Gap Between Query and Database through Query Feature Transformation in C2C e-Commerce Visual Search  [PDF]
        Takuma Yamaguchi, Kosuke Arase, Riku Togashi and Shunya Ueta
• 18. Unsupervised Product Entity Resolution using Graph Representation Learning  [PDF]
        Mozhdeh Gheini and Mayank Kejriwal
• 19. Text Summarization of Product Titles  [PDF]
        Joan Xiao and Robert Munro
• 20. Neural factorization for Offer Recommendation using Knowledge Graph Embeddings  [PDF]
        Gourab Chowdhury, Madiraju Srilakshmi, Mainak Chain and Sudeshna Sarkar
• 21. Image Aesthetics and its Effects on Product Clicks in E-Commerce Search  [PDF]
        Fabiano Belém, Alexandre Maros, Sergio Canuto, Rodrigo Silva, Jussara Almeida and Marcos Goncalves
• 22. Comprehensive Audience Expansion based on End-to-End Neural Prediction  [PDF]
        Jinling Jiang, Xiaoming Lin, Junjie Yao and Hua Lu
• 23. Organic Ponies and Sponsored Batteries: A Category-Based CTR Optimization Model  [PDF]
        Or Levi
• 24. An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space  [PDF]
        Cun Mu, Binwei Yang and Zheng Yan

Data Challenge Papers

TBA