An Algorithmic Framework for Performing Collaborative Filtering

Abstract

column Share on An Algorithmic Framework for Performing Collaborative Filtering Authors: Jonathan L. Herlocker University of Minnesota University of MinnesotaView Profile , Joseph A. Konstan University of Minnesota University of MinnesotaView Profile , Al Borchers University of Minnesota University of MinnesotaView Profile , John Riedl University of Minnesota University of MinnesotaView Profile Authors Info & Claims ACM SIGIR ForumVolume 51Issue 2July 2017 pp 227–234https://doi.org/10.1145/3130348.3130372Published:02 August 2017Publication History 63citation823DownloadsMetricsTotal Citations63Total Downloads823Last 12 Months45Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Keywords

Computer scienceCitationColumn (typography)Information retrievalLibrary scienceWorld Wide WebCollaborative filteringTelecommunicationsRecommender system

Affiliated Institutions

University of Minnesota US

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Publication Info

Year: 2017
Type: article
Volume: 51
Issue: 2
Pages: 227-234
Citations: 2552
Access: Closed

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APA Style

                            
                                
                                    Jonathan L. Herlocker, 
                                
                                    Joseph A. Konstan, 
                                
                                    Al Borchers
                                
                                et al.
                            
                            (2017). 
                            An Algorithmic Framework for Performing Collaborative Filtering. 
                            ACM SIGIR Forum
                            , 51
                            (2)
                            , 227-234.
                            https://doi.org/10.1145/3130348.3130372
                        

Identifiers

DOI: 10.1145/3130348.3130372