Skip to content

This is an online store developed using Django that makes use of k-means clustering and Apriori algorithms to make recommendations to its user. It is a part of my Bachelor's graduation thesis.

Notifications You must be signed in to change notification settings

Dawlatly/Recommender-system

Repository files navigation

Recommender-system

This is an online store developed using Django that makes use of k-means clustering and Apriori algorithms to make recommendations to its user. It is a part of my Bachelor's graduation thesis.

The training data is present in the FYP.csv file. It consists of 9400 sample orders. The scripts for k-means clustering and apriori algorithm are present in k-means.py and apriori.py files resepectively.

The environment is as follows:

  • Python 3.6.7
  • Anaconda 4.6.14
  • Django 1.11.3

To train the data, please see the files mentioned above and execute them. To run the website, execute the code python manage.py runserver within the directory in the command line. Then on your browser, visit http://127.0.0.1:8000.

About

This is an online store developed using Django that makes use of k-means clustering and Apriori algorithms to make recommendations to its user. It is a part of my Bachelor's graduation thesis.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages