nfrank75 / a-more-efficient-rating-prediction-in-recommendation-system

We proposed a model that make the rating prediction in recommendation on the LDOS_COMODA dataset using the Machine Learning Algorithms

1. this file is explain how to execute the TSVD-PCA KNN-LR-NBR on LDOS - CoMoDa dataset Ngaleu Frank Anael .ipynb python code.

install the anaconda tool go to jypyter through the anaconda tool

import the comoda_data.csv dataset execute de source code of TSVD-PCA KNN-LR-NBR on LDOS - CoMoDa dataset Ngaleu Frank Anael .ipynb

2. the histogram of results.docx shows the histogrames of all the results models according to the MAE and RMSE metrics errors

3. LDOS-CoMoDa-description.txt shows all the description of the LDOS - CoMoDa dataset

4. show the table of result models ( trncated singular value decomposition TSVD with KNN, Linear regression and Naive Bayesian)

5. comoda_data.csv is the dataset of LDOS Comoda