Difference between revisions of "Okapi"

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(Created page with "'''Okapi''' is a library of Machine Learning and graph mining algorithms for Giraph. The library includes state-of-the-art Collaborative Filtering algorithms used in recommend...")
 
 
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'''Okapi''' is a library of Machine Learning and graph mining algorithms for Giraph. The library includes state-of-the-art Collaborative Filtering algorithms used in recommendation systems as well as graph algorithms such as partitioning, clustering and sybil-detection for OSNs.
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'''Okapi''' is a library of [[Machine Learning]] and [[graph mining]] algorithms for [[Giraph]]. The library includes state-of-the-art [[Collaborative Filtering]] algorithms used in recommendation systems as well as graph algorithms such as partitioning, clustering and sybil-detection for OSNs.
  
The Okapi library is developed by the Telefonica Research lab and is available as open source under the Apache License. We invite users to contribute to the library, to make it more robust and rich in features. Okapi is part of the [http://www.grafos.ml Grafos.ML] project.  
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The Okapi library is developed by the Telefonica Research lab and is available as open source under the Apache License. Users are invited to contribute to the library, to make it more robust and rich in features. Okapi is part of the [http://www.grafos.ml Grafos.ML] project.  
  
  

Latest revision as of 09:56, 4 December 2014

Okapi is a library of Machine Learning and graph mining algorithms for Giraph. The library includes state-of-the-art Collaborative Filtering algorithms used in recommendation systems as well as graph algorithms such as partitioning, clustering and sybil-detection for OSNs.

The Okapi library is developed by the Telefonica Research lab and is available as open source under the Apache License. Users are invited to contribute to the library, to make it more robust and rich in features. Okapi is part of the Grafos.ML project.


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