This repository aims to showcase our book recommendation system.
The data for this project comes from https://mengtingwan.github.io/data/goodreads and contains the following tables:
-
books (16 000 most often reviewed books)
- name
- goodreads id
- description of the book
- genres
-
ratings (4 million of user reviews)
- goodreads id of a book
- user id
- number of awarded stars
We have implemented the following recommendation systems:
- Content-based: TFIDF system
- Collaborative filtering: SVDF system
- Collaborative filtering: item-to-item
We integrated the systems into a Shiny R / React interactive web application that you can check out at https://huggingface.co/spaces/vojtam/bookrecc