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» Methods for boosting recommender systems
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ICSM
2009
IEEE
14 years 2 months ago
Expert recommendation with usage expertise
Global and distributed software development increases the need to find and connect developers with relevant expertise. Existing recommendation systems typically model expertise b...
David Ma, David Schuler, Thomas Zimmermann, Jonath...
CIKM
2008
Springer
13 years 9 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 6 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
ICASSP
2011
IEEE
12 years 11 months ago
Efficiently computing private recommendations
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused ...
Zekeriya Erkin, M. Beye, T. Veugen, Reginald L. La...
IIR
2010
13 years 9 months ago
An IR-Based Approach for Tag Recommendation
Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...