Welcome to koolsla’s documentation!

Food recommendation tool with Machine learning.

Author: Abdullah Selek



koolsla (Coleslaw) is a recommendation tool based on Machine Learning with contents. Developed with the power of tf-idf and Cosine Similarity.

The user gives a natural number that corresponds to the ID of a unique dish name. Through tf-idf the plot summaries of 424508 different dishes that reside in the dataset, are analyzed and vectorized. Set of dishes (number set by user) is chosen as recommendations based on their cosine similarity with the vectorized input.

Indices and tables