Product Attribute Extraction
Product Attribute Extraction is an academic construct within Product Catalog Management that refers to the automated identification and structured representation of salient characteristics from unstructured or semi-structured product data, distinguishing it from related information extraction tasks by its focus on domain-specific, catalog-ready attributes essential for product description, discovery, and standardization.
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2.5K
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220
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85
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2017–2026
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Text mining for product attribute extraction
Rayid Ghani, Katharina Probst, Yan Liu et al. · ACM SIGKDD Explorations Newsletter · 2006 · 241 citations
Learning to Generate Product Reviews from Attributes
Li Dong, Shaohan Huang, Furu Wei et al. · 2017 · 186 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
4 publications
321 citations
Google (United States)
Mountain View, United States
4 h-index
19 publications
1K citations
University of Mannheim
Mannheim, Germany
4 h-index
9 publications
283 citations

Harbin Institute of Technology
Harbin, China
3 h-index
6 publications
195 citations
Rakuten (Japan)
Tokyo, Japan
3 h-index
9 publications
186 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
7 publications
243 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
2 h-index
4 publications
90 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
168 citations
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Repository · 3 publications · 44 citations
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2 publications · 100 citations
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Conference · 2 publications · 52 citations
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Conference · 1 publications · 14 citations
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AIM · 1 publications · 13 citations
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