Using schema.org Annotations for Training and Maintaining Product Matchers
Author:
Affiliation:
1. Data and Web Science Group, University of Mannheim, Mannheim, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3405962.3405964
Reference31 articles.
1. L. Akritidis and P. Bozanis. 2018. Effective Unsupervised Matching of Product Titles with K-Combinations and Permutations. In 2018 Innovations in Intelligent Systems and Applications (INISTA). 1--10. L. Akritidis and P. Bozanis. 2018. Effective Unsupervised Matching of Product Titles with K-Combinations and Permutations. In 2018 Innovations in Intelligent Systems and Applications (INISTA). 1--10.
2. Learning representations of Web entities for entity resolution
3. Using the Semantic Web as a Source of Training Data
4. Enriching Word Vectors with Subword Information
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