Title
Attribute Similarity and Relevance-Based Product Schema Matching for Targeted Catalog Enrichment
Abstract
Many eCommerce catalogs rely on structured prod-uct data to provide a good experience for customers. For large scale services, product information is provided by millions of different manufacturer and vendor schemas. Due to inherent heterogeneity of this data, unifying it to a consistent catalog schema remains a challenge. Schema matching is the problem of finding such correspondences between conc...
Year
DOI
Venue
2021
10.1109/ICKG52313.2021.00043
2021 IEEE International Conference on Big Knowledge (ICBK)
Keywords
DocType
ISBN
Soft sensors,Semantics,Natural languages,Training data,Manuals,Media,Motion pictures
Conference
978-1-6654-3858-2
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Evan Shieh100.34
Saul Simhon200.34
Geetha Aluri300.34
Giorgos Papachristoudis400.34
Doa Yakut500.34
Dhanya Raghu600.34