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Author Silvestri, Fabrizio ♦ Baraglia, Ranieri
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF ♦ HTM / HTML
Language English
Abstract A novel online recommender system builds profiling models and offers suggestions without the user taking the lead.
Description Affiliation: Information Science and Technology Institute (ISTI) of the Italian National Research Council in Pisa, Italy (Baraglia, Ranieri; Silvestri, Fabrizio)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 50
Issue Number 2
Page Count 5
Starting Page 63
Ending Page 67


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Source: ACM Digital Library