Compare performance of online-recommender system using different classification algorithm.
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Updated
Mar 8, 2017 - JavaScript
Compare performance of online-recommender system using different classification algorithm.
A Project for my ComS 311 Class implementing a movie Recommendation System Using Neighbor-Preserving Hash
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This is an implementation where content based and collaborative filtering recommendation methods are used for recommending courses.
Code for the project: "Analysis of Recommendation-systems based on User Preferences".
Structuring Wikipedia Articles with Section Recommendations
MovieBud helps you pick your next favourite entertainment source.
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A web page based on Last.fm API and Spotify API, that help you choose a music album through a set of moods.
A Recommender system for movies, tv shows, books and games
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Program to find the membership factors and the probabilities of connections in a bipartite network adding metadata to the nodes.
Build queues with song recommendations to a queried track based on its vibes and energy.
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