Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then describe a scalable implementation of the proposed framework in Apache Hadoop and discuss its challenges. © 2010 ACM.
Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
Michelle X. Zhou, Fei Wang, et al.
ICMEW 2013
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding
James E. Gentile, Nalini Ratha, et al.
BTAS 2009