My Assignment: https://www.dukelearntoprogram.com/capstone/recommender.php?id=oW7LjQqStr09UP
Movie Recommendation Webpage using Collaborative Filtering. Language used: Java, HTML and CSS. About: Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? To get a feel for how it works by building a simplified recommender of own!
In this capstone project, I used my problem solving and Java programming skills by creating recommender systems. It work with data for movies, including ratings, but the principles involved can easily be adapted to books, restaurants, and more. I wrote a program to answer questions about the data, including which items should be recommended to a user based on their ratings of several movies. Given input files on users ratings and movie titles, you will be able to:
- Read in and parse data into lists and maps;
- Calculate average ratings;
- Calculate how similar a given rater is to another user based on ratings; and
- Recommend movies to a given user based on ratings.
- Display recommended movies for a given user on a webpage.
