项目作者: onurboyar

项目描述 :
Application of Multivariate Denoising Autoencoders and Matrix Factorization techniques using MovieLens dataset.
高级语言: Jupyter Notebook
项目地址: git://github.com/onurboyar/RecommenderSystems.git
创建时间: 2020-08-13T18:07:16Z
项目社区:https://github.com/onurboyar/RecommenderSystems

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RecommenderSystems

In this repository there are two different ipyb notebooks. One is about application of Multivariate Denoising Autoencoders to MovieLens dataset as explained in here: https://arxiv.org/pdf/1802.05814.pdf

The other notebook is about application of Matrix Factorization techniques to the same dataset using Python Library, Recompy.

These notebooks are part of the lectures I have given at inzva Applied AI study group. Whole repository is here: https://github.com/inzva/Applied-AI-Study-Group-2020-June

Lectures are available on YouTube in Turkish. You can see them from: https://www.youtube.com/watch?v=VFpfol-jaZ0&list=PLhnxo6HZwBgnTokZUfwM-sM0-DXRyp-rl&index=38&ab_channel=inzvateam