Product-based-recommendation-system - A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity

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Deep LearningProduct-based-recommendation-system
Overview

Product-based-recommendation-system

A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity and also uses MongoDB as a database which stores the user data for a semi-collaborative filtering.

Accuracy :

Calculated accuracy using nDCG.

Some randomly selected product efficiency:

  1. Batman killer croc takedown figures: nDCG=0.917

  2. Star Wars Movie Heroes Yoda: nDCG=0.942

  3. Harry Potter Hogwarts Bookmarks: nDCG=0.9406

Technology Used in this project:

  1. Pandas
  2. Numpy
  3. Sklearn
  4. MongoDB as Databases
  5. Streamlit for UI

Demo:

pr

Home UI:

Database structure:

Result UI:

Owner
Prem Jha
https://www.kaggle.com/premjha
Prem Jha
GitHub Repository
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