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Published March 29, 2022 | Version 1.1
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WSKNN - Weighted Session-based k-NN Recommendations in Python

Authors/Creators

  • 1. Sales Intelligence / Digitree Group SA

Contributors

Work package leader:

  • 1. Digitree Group SA

Description

WSKNN: Weighted Session-based k-NN recommender written in Python

Do you build a recommender system for your website? K-nearest neighbors algorithm is a good choice if you are looking for a simple, fast, and explainable solution. Weighted-session-based k-nn recommendations are close to the state-of-the-art, and we don't need to tune multiple hyperparameters and build complex deep learning models to achieve a good result.

Files

Files (139.2 kB)

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