This is Movie Recommendation System Built using just Content Based Filtering using the cosine similarity metric.
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Updated
May 8, 2023 - Python
This is Movie Recommendation System Built using just Content Based Filtering using the cosine similarity metric.
Recommendation System
We create movie recommendation system through demographic filtering, content-based filtering, collaborative filtering, and hybrid engine.
Music recommender system with collaborative and content-based filtering
API for Workout Recommender system. Built with FastAPI.
Build a recommendation system in 2 ways: Content-based filtering and Collaborative Filtering
A movie recommender system.
AmazonEventBridge with content based filtering rule to trigger lambda function
A movie recommender application
Unleash your audio muse: AI-powered music recommendations with Spotify and Streamlit. Discover new favorites based on what you love.
Aimed to recommend car dealers interested in buying second hand cars that has come in for auction through car selling platform
A dual-feature data portable MRS designed to predict user's music preferences under two recommending algorithms and bridge the gap between various music streaming platforms, notably Spotify and TIDAL.
Recommender System 2019 Challenge PoliMi
Competition for the Recommender Systems course @ PoliMi. The objective is to recommend relevant TV shows to users. Models were evaluated on their MAP@10.
Don't know where to go next? Let Triprecco for you!
Flight Booking Ticket (name: CaVi)
Recommendation Systems thesis. This repository contains the development of the evaluation of three recommendations system methods: Collaborative Filtering, Content Based and Hybrid.
A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).
Repositório do artigo: http://seer.upf.br/index.php/rbca/article/view/10047
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