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Recommends movies based on user input and a a pre-trained NMF-model with a browser-based user interface (Flask). Optionally outputs movie trailers for recommendations from YouTube.

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movie-recommender

At a glance: A movie recommending system running in flask.

Running version online: https://movie-recommender-dannyibo.herokuapp.com/

Functionality: User can type in movie names and get by default 5 recommendations for similar movies they most likely like.

Technology: A Non-Nagative-Matrix-Factorization Model gets trained on the start of the server. The training is based on the small MovieLens dataset available on https://grouplens.org/datasets/movielens/.

YouTube API: Optionally a YouTube Data API Key can be defined. This will allow the app to display the trailer videos for the recommended movies as embedded YouTube videos.

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Recommends movies based on user input and a a pre-trained NMF-model with a browser-based user interface (Flask). Optionally outputs movie trailers for recommendations from YouTube.

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