Go to: https://mengtingwan.github.io/data/goodreads.html
This project aims to simplify this search by developing sophisticated recommendation systems tailored to your preferences and reading habits. Utilizing state-of-the-art algorithms, we delve into various recommendation strategies:
Popularity-Based: Highlighting trending and widely acclaimed books to ensure you're not missing out on the titles everyone's talking about.
Collaborative Filtering: Leveraging user interactions to suggest books you'll love based on what similar users enjoyed.
Content-Based Filtering: Focusing on the characteristics of books you've enjoyed in the past to recommend others that match in genre, writing style, or theme.
Python | Pandas | NumPy | Scikit-learn | Popularity-Based Recommendations | Collaborative Filtering