Models for reader interaction systems
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
This account identifies important models and presents a framework for organizing them and demonstrates a general approach to evaluating meta-level discussions such as this, namely, evaluating by assessing ability to generate interesting implications.
Abstract
Article Free Access Share on Models for reader interaction systems Author: Daniel Berleant Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IA Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IAView Profile Authors Info & Claims CIKM '00: Proceedings of the ninth international conference on Information and knowledge managementNovember 2000 Pages 127–133https://doi.org/10.1145/354756.354810Online:06 November 2000Publication History 2citation640DownloadsMetricsTotal Citations2Total Downloads640Last 12 Months6Last 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 SiteeReaderPDF
