Business Problem
There may be reviews as well as ratings about products. These reviews are one of the biggest factors influencing a person's purchasing decision.
Which review will we put at the top?
Our aim is to show the most helpful reviews, not the highest ones. The ranking here will be based on whether other users find the reviews helpful or not.
The following various sequencing approaches were considered within the project.
- Up-Down Diff Score = (up ratings) − (down ratings)
- Average Rating Score= (up ratings) / (all ratings)
- Wilson Lower Bound Score
Requirements
pandas==1.4.3
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