AmoliR/nlp-for-book-recommendation
Content based recommender system for books using NLP.
This tool helps you quickly suggest books to readers based on their current interests. By inputting the name of a book, it analyzes its themes, author, and description to output a list of other books with similar content. It's ideal for librarians, booksellers, or avid readers looking for their next read.
No commits in the last 6 months.
Use this if you want to provide content-based book recommendations by identifying similar books to one a user already enjoys.
Not ideal if you need a recommendation system that considers user ratings or purchase history (collaborative filtering).
Stars
23
Forks
6
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AmoliR/nlp-for-book-recommendation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huangy22/NewsRecommender
A news recommendation system tailored for user communities
archd3sai/News-Articles-Recommendation
Objective of the project is to build a hybrid-filtering personalized news articles...
jonaylor89/WineInAMillion
Wine Recommender created with sentence-BERT and NearestNeighbor on AWS SageMaker
eugeneyan/recsys-nlp-graph
🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular...
Keep-Current/Engine
The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users