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Creation of a recommendation system (Netflix like) using MongoDB for data storage, HTML, CSS, Jinja2 and JavaScript for the webpages and Flask to establish the connection between the webpages and the database.

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henriquejosefaria/RecomendingSystem

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Recomendation System

Creation of a recomendation system using MongoDB for data storage, HTML, CSS, Jinja2 and JavaScript for the webpages and Flask to establish the connection between the webpages and the database.

  • Cold case Users:

    recomendation of the top 10 best voted films by IMDB.

    recomendation of top 10 best films according to all the plataform users.

  • Similar Users-Based:

    personal recomendation of top 10 films according to the top X most similar users.

  • Content-Based:

    recomendation of the 10 best films based on the user's preferences.

  • Cold Start Films:

    presentation on the pos-login page of the 15 most recent movies with the lowest views.(the number of views is incremented every time a film falls on the cold start case recomendation.)

  • Restriction-Based:

implementation of a seachbar that works as a restriction based recomendation. Can be used on title, description, genre, etc...

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Creation of a recommendation system (Netflix like) using MongoDB for data storage, HTML, CSS, Jinja2 and JavaScript for the webpages and Flask to establish the connection between the webpages and the database.

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