Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
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Updated
May 11, 2024 - Python
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Movie / Film recommendation system built using Java utilizing knowledge graph technology.
A Discord bot that uses natural language processing sentiment analysis on your recent messages to recommend you movies based on your mood.
A simple movie recommendation system using collaborative filtering.
Simple movie recommender built in GNU Octave, which creates a database of user ratings (100,000 ratings applied to 9,000 movies by 600 users), receives movie ratings from a new user(from 1 to 5, with half-star ratings allowed) and, based on those, gives the user a number of movie recommendations.
Built a movie recommender using multiple machine learning algorithms to help people find their perfect movies.
User-Based Collaborative Filtering method for Movie Recommendations
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