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Collaborative filtering
Known as:
Cf
, Collaborative Filter
, Shilling attacks
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one…
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49 relations
Apache Mahout
Apache Spark
Business logic
California Report Card
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Broader (2)
Collaborative software
Collective intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Improving Prediction Accuracy in Trust-Aware Recommender Systems
Sanjog Ray
,
A. Mahanti
Hawaii International Conference on System…
2010
Corpus ID: 28540195
Trust-aware recommender systems are intelligent technology applications that make use of trust information and user personal data…
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2009
2009
Collaborative Filtering Based on Demographic Attribute Vector
Tian Chen
,
Liang He
ETP International Conference on Future Computer…
2009
Corpus ID: 7824215
In present recommender systems, users receive items recommended on basis of their purchase records. New user experiences the cold…
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2008
2008
Wireless optical CDMA LAN: digital design concepts
B. M. Ghaffari
,
Mehdi D. Matinfar
,
J. Salehi
IEEE Transactions on Communications
2008
Corpus ID: 206641163
In this paper we study and present an in-depth analysis on the operability and the viability of a typical wireless optical CDMA…
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2008
2008
Adaptive collaborative filtering
Markus Weimer
,
Alexandros Karatzoglou
,
Alex Smola
ACM Conference on Recommender Systems
2008
Corpus ID: 1951003
We present a flexible approach to collaborative filtering which stems from basic research results. The approach is flexible in…
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2006
2006
Extending optical transmission distance in fiber wireless links using passive filtering in conjunction with optimized modulation
M. Attygalle
,
C. Lim
,
A. Nirmalathas
Journal of Lightwave Technology
2006
Corpus ID: 34796839
The authors demonstrate a simple passive technique for increasing the transmission distance in fiber wireless links through the…
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2005
2005
Automatic Discovery of Personal Topics to Organize Email
A. Surendran
,
John C. Platt
,
Erin Renshaw
International Conference on Email and Anti-Spam
2005
Corpus ID: 18391391
We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike…
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Review
2005
Review
2005
Learning to learn and collaborative filtering
Kai Yu
,
Volker Tresp
Neural Information Processing Systems
2005
Corpus ID: 2323885
This paper reviews several recent multi-task learning algorithms in a general framework. Interestingly, the framework establishes…
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2005
2005
Employing a domain ontology to gain insights into user behaviour
Patricia Kearney
,
S. Anand
,
M. Shapcott
2005
Corpus ID: 16674110
As the Web becomes the de facto window shopping experience for the on-line customer so web personalization is becoming an…
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2001
2001
Collaborative filtering with automatic rating for recommendation
Mira Kwak
,
Dong-Sub Cho
ISIE . IEEE International Symposium on…
2001
Corpus ID: 61290332
In this paper, the authors describe a recommendation system designed to suggest new products to Web shopping mall customers. The…
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Review
1999
Review
1999
Bandwidth Utilization / Fidelity Tradeoffs in Predictive Filtering 1
B. Zeigler
,
G. Ball
,
H. Cho
,
J. S. Lee
,
H. Sarjoughian
1999
Corpus ID: 17434002
In confirmation of earlier developed theory, this paper presents some very promising empirical results obtained for tradeoff…
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