Python-based Recommendation Platform: Difference between revisions

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=== 2016 ===
=== 2016 ===
* https://pypi.python.org/pypi/scikit-surprise
* https://pypi.python.org/pypi/scikit-surprise
** QUOTE: [[Python Surprise scikit|Surprise]] is a [[Python scikit]] for [[building recommender systems|building]] and [[analyzing recommender systems]]. <P> Surprise was designed with the following purposes in mind:
** QUOTE: [[Python Surprise scikit|Surprise]] is a [[Python scikit]] for [[building recommender systems|building]] and [[analyzing recommender systems]].       <P>         Surprise was designed with the following purposes in mind:
*** Give users perfect control over their experiments. To this end, a strong emphasis is laid on documentation, which we have tried to make as clear and precise as possible by pointing out every detail of the algorithms.
*** Give users perfect control over their experiments. To this end, a strong emphasis is laid on documentation, which we have tried to make as clear and precise as possible by pointing out every detail of the algorithms.
*** Alleviate the pain of [[Dataset handling]]. Users can use both built-in datasets ([[Movielens]], [[Jester]]), and their own custom datasets.
*** Alleviate the pain of [[Dataset handling]]. Users can use both built-in datasets ([[Movielens]], [[Jester]]), and their own custom datasets.

Revision as of 20:10, 12 March 2018

An Python-based Recommendation Platform is a recommendation platform that is an Python-based system.



References

2016