Building movie recommendations using ML
Introduction I was wondering about how to create movie recommendations, so I decided to take a closer look and find out more about this topic. This is what I found: First step: You need to create a JSON file with the data that you will use to train the model and define the parameters for training the model. [ { "title": "Avatar", "year": "2009", "rated": "PG-13", "released": "18 Dec 2009", "runtime": "162 min", "genre": "Action, Adventure, Fantasy", "director": "James Cameron", "writer": "James Cameron", "actors": "Sam Worthington, Zoe Saldana, Sigourney Weaver, Stephen Lang", "plot": "A paraplegic marine dispatched to the moon Pandora on a unique mission becomes torn between following his orders and protecting the world he feels is his home.", "language": "English, Spanish", "country": "USA, UK", "awards": "Won 3 Oscars. Another 80 wins & 121 nominations.", "poster": "https://ia.media-imdb.com/images/M/MV5BMTYwOTEwNjAzMl5BMl5BanBnXkFtZTcwODc5MTUwMw@@._V1_SX300.jpg", "metascore": "83", "imdbrating": "7.9", "imdbvotes": "890,617", "imdbid": "tt0499549", "type": "movie", "response": "True", "keywords": ["alien", "avatar", "fantasy world", "soldier", "battle"] }, ] When you have created the data, you can proceed to the next step. ...