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» How Users Perceive and Appraise Personalized Recommendations
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CSCW
2000
ACM
13 years 11 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CDVE
2007
Springer
115views Visualization» more  CDVE 2007»
13 years 11 months ago
A Document Recommendation System Based on Clustering P2P Networks
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
Feng Guo, Shaozi Li
IADIS
2003
13 years 8 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
WWW
2008
ACM
14 years 7 months ago
A Study of User Profile Generation from Folksonomies
Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
CHI
1998
ACM
13 years 11 months ago
Information Archiving with Bookmarks: Personal Web Space Construction and Organization
Bookmarks are used as "personal Web information spaces" to help people remember and retrieve interesting Web pages. A study of personal Web information spaces surveyed 3...
David Abrams, Ronald Baecker, Mark H. Chignell