A machine learning approach for product matching and categorization-Reference-Cited by-同舟云学术

A machine learning approach for product matching and categorization

Published:2018-08-27 Issue:5 Volume:9 Page:707-728
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Ristoski Petar¹,Petrovski Petar¹,Mika Peter²,Paulheim Heiko¹

Affiliation:

1. Data and Web Science Group, University of Mannheim, B6, 26, 68159 Mannheim, Germany. E-mails: petar.ristoski@informatik.uni-mannheim.de, petar@informatik.uni-mannheim.de, heiko@informatik.uni-mannheim.de

2. Yahoo Labs, London, UK. E-mail: pmika@yahoo-inc.com

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference37 articles.

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3. R. Collobert and J. Weston, A unified architecture for natural language processing: Deep neural networks with multitask learning, in: Proceedings of the 25th International Conference on Machine Learning, ACM, 2008, pp. 160–167.

4. J.G. de Souza, M. Federico and H. Sawaf, Mt quality estimation for e-commerce data, in: Proceedings of MT Summit XV, 2015.

5. R. DeNale and D. Weidenhamer, Quarterly Retail E-Commerce Sales 4th Quarter 2015, US Census Bureau News, 2015.

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