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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