Book Recommendations: Case Study

Download the dataset below to solve this Data Science case study on Book Recommendations.

A Book Recommendation System is a data-driven application that suggests books to users based on their preferences and behaviour. It aims to enhance user experience by providing personalized book recommendations, thereby increasing user engagement and satisfaction. 

The dataset provided contains information related to books. Here is an overview of the dataset’s structure:

  • bookID: A unique identifier for each book.
  • title: The title of the book.
  • authors: The author(s) of the book.
  • average_rating: The average rating of the book, indicating user satisfaction with the book.

Your goal is to develop a Book Recommendation System based on ratings and content information.

References to Solve this Data Science Case Study