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Keywords
(2)
Collaborative Filtering
Information Filtering
Related Publications
(122)
GroupLens: An Open Architecture for Collaborative Filtering of Netnew
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Using collaborative filtering to weave an information tapestry
Using collaborative filtering to weave an information tapestry,10.1145/138859.138867,Communications of The ACM,David Goldberg,David A. Nichols,Brian M
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Using collaborative filtering to weave an information tapestry
(
Citations: 1198
)
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David Goldberg
,
David A. Nichols
,
Brian M. Oki
,
Douglas B. Terry
Journal:
Communications of The ACM - CACM
, vol. 35, no. 12, pp. 61-70, 1992
DOI:
10.1145/138859.138867
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Citation Context
(657)
...Collaborative ltering aggregate peoples’ opinions to arrive at good recommendations for products or services [5,
13
, 22, 33]...
Michal Kosinski
,
et al.
Crowd IQ: Measuring the Intelligence of Crowdsourcing Platforms
...Content-based recommendation systems use data about the requested items and the information regarding only the active user [
10
]...
...Other applications are WebWatcher [12], Tapestry [
10
], InfoFinder [13], Mooney [14] and so on...
Xin Wan
,
et al.
Utilizing learning process to improve recommender system for group lea...
...The collaborative filtering recommendation approach was first proposed by David Goldberg et al. [
4
]...
Richong Zhang
,
et al.
An information gain-based approach for recommending useful product rev...
...Our algorithm design is partially inspired by the recommendation systems in the electronic commerce industry, where analytical methods such as collaborative filtering [
16
] and multiarmed bandit process modeling [17] are useful...
Xu Chen
,
et al.
Adaptive Channel Recommendation for Dynamic Spectrum Access
...Tapestry (
Goldberg et al. 1992
) is one of the first recommendation systems using collaborative filtering technique...
Mehmet Kayaalp
,
et al.
A mash-up application utilizing hybridized filtering techniques for re...
References
(11)
An overview of the Andrew message system
(
Citations: 16
)
Jonathan Rosenberg
,
Craig F. Everhart
,
Nathaniel S. Borenstein
Journal:
Computer Communication Review - CCR
, vol. 17, no. 5, pp. 99-108, 1987
Electronic Junk
(
Citations: 87
)
Peter J. Denning
Journal:
Communications of The ACM - CACM
, vol. 25, no. 3, pp. 163-165, 1982
Continuous queries over append-only databases
(
Citations: 251
)
Douglas B. Terry
,
David Goldberg
,
David A. Nichols
,
Brian M. Oki
Journal:
Sigmod Record
, vol. 21, no. 2, pp. 321-330, 1992
MAFIA—an active mail-filter-agent for an intelligent document processing support
(
Citations: 27
)
Ernst Lutz
,
Hans V. Kleist-Retzow
,
Karl Hoernig
Journal:
ACM Sigois Bulletin
, vol. 11, no. 4, pp. 16-32, 1990
Intelligent information-sharing systems
(
Citations: 428
)
Thomas W. Malone
,
Kenneth R. Grant
,
Franklyn A. Turbak
,
Stephen A. Brobst
,
Michael D. Cohen
Journal:
Communications of The ACM - CACM
, vol. 30, no. 5, pp. 390-402, 1987
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Citations
(1198)
Crowd IQ: Measuring the Intelligence of Crowdsourcing Platforms
(
Citations: 1
)
Michal Kosinski
,
Yoram Bachrach
,
Gjergji Kasneci
,
Jurgen Van-Gael
,
Thore Graepel
Published in 2012.
Advances in Collaborative Filtering
(
Citations: 4
)
Yehuda Koren
,
Robert M. Bell
Published in 2011.
Introduction to Recommender Systems Handbook
(
Citations: 3
)
Francesco Ricci
,
Lior Rokach
,
Bracha Shapira
Published in 2011.
Utilizing learning process to improve recommender system for group learning support
(
Citations: 3
)
Xin Wan
,
Toshio Okamoto
Journal:
Neural Computing and Applications - NCA
, vol. 20, no. 5, pp. 611-621, 2011
An information gain-based approach for recommending useful product reviews
(
Citations: 5
)
Richong Zhang
,
Thomas T. Tran
Journal:
Knowledge and Information Systems - KAIS
, vol. 26, no. 3, pp. 419-434, 2011