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» On bootstrapping recommender systems
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DMIN
2009
132views Data Mining» more  DMIN 2009»
15 years 4 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
SIGSOFT
2009
ACM
16 years 7 months ago
DebugAdvisor: a recommender system for debugging
In large software development projects, when a programmer is assigned a bug to fix, she typically spends a lot of time searching (in an ad-hoc manner) for instances from the past ...
B. Ashok, Joseph M. Joy, Hongkang Liang, Sriram K....
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
14 years 1 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
16 years 15 days ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
SIGECOM
2004
ACM
127views ECommerce» more  SIGECOM 2004»
15 years 11 months ago
HYRIWYG: leveraging personalization to elicit honest recommendations
This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mecha...
Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans...