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pysarplus 0.6.6
SARplus
Simple Algorithm for Recommendation (SAR) is a neighborhood based
algorithm for personalized recommendations based on user transaction
history. SAR recommends items that are most similar to the ones
that the user already has an existing affinity for. Two items are
similar if the users that interacted with one item are also likely
to have interacted with the other. A user has an affinity to an
item if they have interacted with it in the past.
SARplus is an efficient implementation of this algorithm for Spark.
More details can be found at
sarplus@microsoft/recommenders.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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