Wittline/recommendation-system
Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)
This project helps anyone running a streaming service or content platform automatically suggest similar movies or shows to their users. You provide a list of movie titles and descriptions, and it outputs a list of recommended titles that are most similar. This is useful for content strategists, product managers, or independent filmmakers looking to enhance user engagement on their platforms.
No commits in the last 6 months.
Use this if you want to build a content-based recommendation system that suggests items based purely on their textual descriptions, like movie plots or summaries.
Not ideal if you need a recommendation system that also considers user behavior, ratings, or other complex interaction data.
Stars
13
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 13, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Wittline/recommendation-system"
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
AmoliR/nlp-for-book-recommendation
Content based recommender system for books using NLP.
eugeneyan/recsys-nlp-graph
🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular...