Using Data Mining to Determine User-Specific Movie Ratings

نویسندگان

  • Harsh Mehta
  • Darshan Doshi
چکیده

With the rise of various streaming services like Netflix and Amazon Prime, and the rise of movie collections offered by a single provider, the need for determining user-specific movie ratings increases. It is highly crucial for a company to know, and recommend the type of movies liked by users to increase customer retention and improve user experience. In this paper, we are going to use data mining techniques to analyse user preferences and determine user-specific movie ratings through the help of data mining techniques. We will use a movie database from IMDB and determine user specific ratings for each of them. The analysis of attributes of these movies will help us identify the decisive factors and identify user preferences accurately. Keywords— Data Mining, Decisive Factors, User Experience, Recommend, User Preference

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تاریخ انتشار 2017