Registered 2013-04-27 by Bradley Block

Implementation of an efficient stochastic approach to obtain Personalized PageRank vectors from each node in a graph.

JFPPR (Java Fully Personalized PageRank)

This is a Java implementation of the algorithm and methods described in:

Fast Incremental and Personalized PageRank
Bahman Bahmani, Abdur Chowdhury, and Ashish Goel
Proceedings of the VLDB Endowment.

A demo can be run with the command line:
java -cp jfppr.jar com.pawjaw.graph.fppr.demo.SimilarSpelledWords

Other projects include:

Boosted Tree CRF
https://launchpad.net/jbtcrf

Transformed Weight-normalized Complement Naive Bayes classifier
https://launchpad.net/jtwcnb

Gradient Boosted Trees for Classification and Regression
https://launchpad.net/jgbtcr

Clustering algorithms
https://launchpad.net/jclust

Project information

Maintainer:
Bradley Block
Driver:
Bradley Block
Licence:
GNU GPL v3

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trunk series is the current focus of development.

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Version control system:
Bazaar
Programming languages:
Java

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Latest version is r0.8.1
released on 2013-04-29

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