An algorithmic framework for performing collaborative filtering
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage.
Abstract
Article Free Access Share on An algorithmic framework for performing collaborative filtering Authors: Jonathan L. Herlocker Dept. of Computer Science and Engineering, University of Minnesota Dept. of Computer Science and Engineering, University of MinnesotaView Profile , Joseph A. Konstan Dept. of Computer Science and Engineering, University of Minnesota Dept. of Computer Science and Engineering, University of MinnesotaView Profile , Al Borchers Dept. of Computer Science and Engineering, University of Minnesota Dept. of Computer Science and Engineering, University of MinnesotaView Profile , John Riedl Dept. of Computer Science and Engineering, University of Minnesota Dept. of Computer Science and Engineering, University of MinnesotaView Profile Authors Info & Claims SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrievalAugust 1999Pages 230–237https://doi.org/10.1145/312624.312682Published:01 August 1999Publication History 1,811citation10,258DownloadsMetricsTotal Citations1,811Total Downloads10,258Last 12 Months632Last 6 weeks53 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 SiteeReaderPDF
