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pro vyhledávání: '"Galron, Daniel A."'
Recommender systems are ubiquitous in the domain of e-commerce, used to improve the user experience and to market inventory, thereby increasing revenue for the site. Techniques such as item-based collaborative filtering are used to model users' behav
Externí odkaz:
http://arxiv.org/abs/1812.10546
Autor:
Galron, Daniel A.
Publikováno v:
Connect to resource.
Thesis (Honors)--Ohio State University, 2006.
Title from first page of PDF file. Document formatted into pages: contains iv, 103.; also includes graphics. Includes bibliographical references (p. 103). Available online via Ohio State University's
Title from first page of PDF file. Document formatted into pages: contains iv, 103.; also includes graphics. Includes bibliographical references (p. 103). Available online via Ohio State University's
Externí odkaz:
http://hdl.handle.net/1811/6479
Autor:
Keahey, Katarzyna, Foster, Ian, Freeman, Timothy, Xuehai Zhang, Galron, Daniel, Cunha, José C., Medeiros, Pedro D.
Publikováno v:
Euro-Par 2005 Parallel Processing; 2005, p421-431, 11p
Publikováno v:
Handbook of Computational Linguistics & Natural Language Processing; 2010, p655-741, 87p
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the wor
Autor:
José C. Cunha, Pedro D. Medeiros
'Euro-Par 2005 was the eleventh conference in the Euro-Par series. It was organized by the Centre for Informatics and Information Technology (CITI) and the Department of Informatics of the Faculty of Science and Technology of Universidade Nova de Lis