Datasets:
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CITATION.cff
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cff-version: 1.2.0
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message: "If you use this dataset, please cite it as below."
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title: "Product Tagging and Saved Intent in Online Retail: a measurement study of 1,028 Shopify storefronts and 700 Steam titles"
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abstract: >-
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A measurement study of how product tags and saved-item features are
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implemented in online retail. 1,028 Shopify storefronts were drawn by seeded
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random sample from the Tranco top 1M and measured for tag structure,
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namespace discipline, casing drift, wishlist implementation and Product
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JSON-LD completeness. 700 Steam titles were sampled as a contrast case in
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which tags are applied by the crowd against a shared controlled vocabulary
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rather than invented per store. Includes raw per-store records, per-store
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wishlist verification evidence, and all collection and analysis code.
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type: dataset
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authors:
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- family-names: Gerrish
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given-names: Jacob Ezra
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affiliation: SEMPITE
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orcid: "https://orcid.org/0009-0004-0820-2106"
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keywords:
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- ecommerce
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- product taxonomy
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- tagging
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- wishlists
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- Shopify
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- Steam
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- structured data
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- agentic commerce
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- web measurement
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license: CC-BY-4.0
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date-released: 2026-09-14
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version: "1.0.0"
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url: "https://sempite.com/research/product-tag-vocabularies/"
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