Collaborative filtering KNN based recommendation systems

Similarity collaborative filtering based RecSys.

Notebook

Sources

• Collaborative filtering
  • Medium: Collaborative Filtering based Recommendation Systems exemplified..
  • This project is base in: CF Recommendation System-Examples.ipynb
• Metrics
  • Precision@k: The Overlooked Metric for Fraud and Lead Scoring Models
  • Popular evaluation metrics in recommender systems explained
  • How mean Average Precision at k (mAP@k) can be more useful than other evaluation metrics

Getting started

Step 1: Clone repo.

$ git clone https://github.com/adrianmarino/knn-cf-rec-sys.git
$ cd knn-cf-rec-sys

Step 2: Create environment.

$ conda env create -f environment.yml

Open notebooks locally

Step 1: Enable project environment.

$ conda activate knn-cf-rec-sys

Step 2: Under project directory boot jupyter lab.

$ jupyter lab

Jupyter Notebook 6.1.4 is running at:
http://localhost:8888/?token=45efe99607fa6......

Step 3: Go to http://localhost:8888.... as indicated in the shell output.