Built a hybrid book recommendation engine using content based filtering and collaborative filtering.

• Developed a hybrid recommendation algorithm of content based and collaborative filtering for books.

• Used cosine similarity and KNN normalized ratings for the user-to-user collaborative filtering technique.

• Performed content based filtering on the books using term frequency inverse document frequency of the abstract and reviews of each book.

More details can be found on the github repository