movie recommender

10.00

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movie recommender

Abstract

In recent days, it’s hard to find one’s likes from the enormous choices among different content that are being consumed by everyone such as movies, articles, books, etc. So the community of AI concerns about the way of resolving the problem as a digital content. So using the combination of Content-based and Collaborative Filtering Techniques we have set up a Hybrid Movie Recommender system. To engage maximum number of digital content users by prĂ©cising their movie recommendations based on their interest and the popularity of the movies. It will be helpful for both the new and existing users of the digital content with the updated database regarding movies.[/et_pb_text][et_pb_button button_url=”https://sibforms.com/serve/MUIEANycoWu1hdxwG_HO4pA9wW_OO1TzUiZCmCONlKNE9kAdXvTJUmZ7pI436BGA40QuIjoc7j9RQCuXpS7WZJ3-_34Xr85H0tsORoE_z8GPxWoJPzxkMgOVQvnOh3WkB6zbxgo5iLWNqFrvU_tNkbauV2-n2jtaoDw6IZb9OwFotgcraZGy-4U5O79QmmhXBCJhyUeyO0ML3Thy” url_new_window=”on” button_text=”Click Here” _builder_version=”3.26.7″][/et_pb_button][/et_pb_column][/et_pb_row][/et_pb_section]

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