Abstract
Abstract: Recommender system are systems which provide you with a similar type of products or solutions and results, you are looking for. For example, if you go to a Clothing shop, you ask for a T-shirt with different designs or different colors, Then the shopkeeper recommends you with different colors. This recommending task for websites is done by recommending systems. A recommendation engine uses several algorithms to filter data and then recommends the most relevant items to consumers. A Movie Recommender system will recommend the most relevant and connected movie for the given category of search, if a user visits a movie site for the first time, the site will have no previous history of that user. In such cases, the user can search for their movie recommendations based on genre, year of release, director or actor and their favorite movie itself to get a new movie recommendation. Keywords: Movie Recommendation Systems, Content-Based Filtering, Movie recommendation, machine learning project
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