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Rival is an open source Java toolkit for recommender system evaluation. It provides a simple way to create evaluation results comparable across different recommendation frameworks.

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Heads up! Downloads are pulled directly from the latest committed code on GitHub, and as a result our docs may at times be out of sync.

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For a more stable version of rival, check out the latest release

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Version 0.2

Rival gives you a comprehensive collection of strategies for datasplitting and evaluation. It is easy to use and provides results comparable across recommendation frameworks.

rival is an open source evaluation framework. Create your own evaluation strategies tailored for your recommendations.

rival is configurable. You can select to run the complete evaluation process (inc. datasplitting) through rival or cherry pick the parts you need.

You have everything built up, ready to launch your evaluation!

We will keep updating this project, we will keep adding new evaluation strategies, metrics and other components.

rival is free (as in speech), if you don't like something we've done: fork it, change it, use it anyway you like.

rival makes sure that your evaluation results are comparable to those of other recommender systems. You don't need to publish your algorithm, just state the strategy and metrics you're using.

Check out the rival Java Doc here .

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and open for everyone to contribute.Please give us some feedback and join the development!

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Email: [email protected]

Project Team

Mike Brownsell - Chair of steering group and PAR lead

Contact Details

[email protected] Clatterbridge General Hospital, Wirral, CH63 4JY
  • UCLan
  • Manchester Metropolitan University
  • University Of Manchester
  • University Of Salford
  • University Of Bolton
  • Edge Hill University
  • Cumbria
  • University Of Liverpool
  • Liverpool John Moores University
  • University Of Chester

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