Business Problem
IMDB movies are intended to be ranked with various ranking approaches.
In this study;
A ranking based on Vote Count, Vote acerage numbers as well as a ranking based on the average weight of these factors
IMDB weighted average
Bayesian Average Rating (BAR Score)
furthermore, at the end of the study, a hybrid solution of all these approaches and a ranking approach is discussed.
Dataset Info
movies_metadata.csv
| Feature | Definition |
|---|---|
| title | Movie title |
| vote_average | Average rating score |
| vote_count | Number of rating |
Requirements
pandas==1.4.3
scikit_learn==1.1.2
scipy==1.7.3
Files
01-user-time-weighted-product-score.ipynb - User & Time Weighted Product Score Calculation Notebook
02.1-sorting-udemy-courses.ipynb - Sorting Udemy Courses Notebook
02.2-sorting-imdb-movies.ipynb - Sorting IMDB Movies Notebook
03-sorting-reviews.ipynb - Sorting Reviews Notebook
04-amazon-rating-product-sorting-reviews.ipynb - Rating Product & Sorting Reviews in Amazon