Overview - Product Search 2023

Data | Runs | Participants

The product search track focuses on IR tasks in the world of product search and discovery. This track seeks to understand what methods work best for product search, improve evaluation methodology, and provide a reusable dataset which allows easy benchmarking in a public forum.

Track coordinator(s):

• Daniel Campos, University of Illinois at Urbana-Champaign
• Corby Rosset, Microsoft
• Surya Kallumadi, Lowes
• ChengXiang Zhai, University of Illinois at Urbana-Champaign
• Alessandro Magnani, Walmart

Track Web Page: https://trec-product-search.github.io/

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