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Recommender system
Known as:
Recommendation search engines
, IPTV Recommendations
, TV Recommender system
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Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information…
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Related topics
Related topics
50 relations
Additive smoothing
COnnecting REpositories
Cluster analysis
Cold start
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Recommender Systems
S. Ahrens
2012
Corpus ID: 510077
Beyond NDCG: behavioral testing of recommender systems Collaborative Knowledge Base Embedding for Recommender ...Recommender…
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Highly Cited
2011
Highly Cited
2011
Introduction to Recommender Systems Handbook
F. Ricci
,
L. Rokach
,
Bracha Shapira
Recommender Systems Handbook
2011
Corpus ID: 35569873
Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. In this…
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Highly Cited
2011
Highly Cited
2011
Recommender systems with social regularization
Hao Ma
,
Dengyong Zhou
,
Chao Liu
,
Michael R. Lyu
,
Irwin King
WSDM '11
2011
Corpus ID: 7848601
Although Recommender Systems have been comprehensively analyzed in the past decade, the study of social-based recommender systems…
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Review
2010
Review
2010
Recommender Systems - An Introduction
D. Jannach
,
M. Zanker
,
A. Felfernig
,
G. Friedrich
2010
Corpus ID: 38695940
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their…
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Highly Cited
2010
Highly Cited
2010
Recommender Systems Handbook
F. Ricci
,
L. Rokach
,
Bracha Shapira
,
P. Kantor
2010
Corpus ID: 220884718
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly…
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Highly Cited
2009
Highly Cited
2009
Matrix Factorization Techniques for Recommender Systems
Y. Koren
,
Robert M. Bell
,
C. Volinsky
Computer
2009
Corpus ID: 58370896
As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor…
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Review
2004
Review
2004
Evaluating collaborative filtering recommender systems
Jonathan L. Herlocker
,
J. Konstan
,
L. Terveen
,
J. Riedl
TOIS
2004
Corpus ID: 207731647
Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in…
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Review
2004
Review
2004
Hybrid Recommender Systems: Survey and Experiments
R. Burke
User Modeling and User-Adapted Interaction
2004
Corpus ID: 3970
Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. They have become…
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Highly Cited
2000
Highly Cited
2000
Application of Dimensionality Reduction in Recommender System - A Case Study
B. Sarwar
,
G. Karypis
,
J. Konstan
,
J. Riedl
2000
Corpus ID: 17065558
Abstract : We investigate the use of dimensionality reduction to improve performance for a new class of data analysis software…
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Review
1997
Review
1997
Recommender systems
P. Resnick
,
H. Varian
CACM
1997
Corpus ID: 1381259
Recommender systems assist and augment this natural social process. In a typical recommender system people provide…
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