Book_Recommendation_System

In this project, I have implemented a content-based book recommendation system. The user can introduce a title or a description of a book he likes, and the k number of recommendations he wants to get. The system will return the k books whose summaries are the most simmilar to the one of the book introduced by the user (using the cosine simmilarity of the summaries' embeddings).

Installation

pip install git+https://github.com/leyresv/Book_Recommendation_System.git
pip install -r requirements.txt

Usage

Before using the recommendation system, you need to download and process the CMU Book Summaries Dataset. To do it, open a terminal prompt on the root directory and introduce the following command:

python data/utils.py

The data will take a few minutes to be ready. Once it's done, you can use the recommendation system by simply introducing the following command:

python main/main.py

If you prefer using the user interface, introduce the following command from the root directory:

python main/gui.py

Book_recommendation.mp4

(To be implemented: same author search)