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ECOM'21: The SIGIR 2021 Workshop on eCommerce

Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke

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Abstract

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.

Topics & Concepts

Computer scienceRelevance (law)World Wide WebDomain (mathematical analysis)Component (thermodynamics)Information retrievalData sciencePolitical scienceMathematicsLawThermodynamicsMathematical analysisPhysicsInformation Retrieval and Search BehaviorRecommender Systems and TechniquesWeb Data Mining and Analysis
ECOM'21: The SIGIR 2021 Workshop on eCommerce | Litcius