A modular hybrid recommender for financial assets: 5 algorithms, 11 metrics, cold-start handling, Streamlit UI.
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Updated
May 5, 2026 - Python
A modular hybrid recommender for financial assets: 5 algorithms, 11 metrics, cold-start handling, Streamlit UI.
An age and context sensitive movie recommendation system for a group of people spanning various age groups that considers the preferences, past activities, and currently trending content to recommend an age-appropriate movie for all to enjoy
✨ Recommendation Systems Using Diverse Techniques ✨
Movie Recomendation System is a movie recommender system using the TMDB 5000 Movie Dataset on Kaggle. Main goal of this system is to develop essential skills in data handling, exploratory data analysis, and model building
✨ Recommendation Systems Using Diverse Techniques ✨
Movie review website integrating a recommendation system based on ratings and demographics
Movie Recommendation System
Basic Movie Recommendation Web Application using content filtering.
Demonstration on different types of recommender systems
Movie recommendation system using python
Recommendation website build using Aspect Based Sentiment Analysis, Recommendation techniques and NLP
Movie Recommendation Systems
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