ECOM'21: The SIGIR 2021 Workshop on eCommerce
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eCommerce Information Retrieval (IR) is receiving increasing attention in the academic literature and is an essential component of some of the world's largest web sites (e.g., Airbnb, Alibaba, Amazon, eBay, Facebook, Flipkart, Lowe's, Taobao, and Target). SIGIR has for several years seen sponsorship from eCommerce organisations, reflecting the importance of IR research to them. The purpose of this workshop is (1) to bring together researchers and practitioners of eCommerce IR to discuss topics unique to it, (2) to determine how to use eCommerce's unique combination of free text, structured data, and customer behavioral data to improve search relevance, and (3) to examine how to build datasets and evaluate algorithms in this domain. Since eCommerce customers often do not know exactly what they want to buy (i.e. navigational and spearfishing queries are rare), recommendations are valuable for inspiration and serendipitous discovery as well as basket building. The theme of this year's eCommerce IR workshop is ensuring fairness in search and recommendations for eCommerce. The workshop includes papers on this topic as well as a panel focused on this area. In addition, Coveo is sponsoring an eCommerce data challenge on session-based prediction for predicting the next action with a special subtask on cart abandonment. The data challenge reflects themes from prior SIGIR workshops in 2017, 2018, 2019, and 2020.
[1] M. de Rijke,et al. Challenges and research opportunities in eCommerce search and recommendations , 2020, SIGIR Forum.
[2] Andrew Trotman,et al. SIGIR 2017 Workshop on eCommerce (ECOM17) , 2017, SIGIR.
[3] Andrew Trotman,et al. SIGIR 2018 Workshop on eCommerce (ECOM18) , 2018, SIGIR.
[4] Surya Kallumadi,et al. ECOM'20: The SIGIR 2020 Workshop on eCommerce , 2020, SIGIR.