koolslaΒΆ
Documentation: https://koolsla.abdullahselek.com
Source Code: https://github.com/abdullahselek/koolsla
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.
koolsla is mainly an educational project.