Abstract
Whether we are choosing a series on an OTT platform or searching for a movie, online recommendation engines have influenced our decisions. They are far from perfect and are still very much in the early phases of development. Specifically, we provide bandy movie recommendation algorithms in this study. Furthermore, we discuss key exploratory articles that have helped these systems overcome certain challenges and critically evaluate some work on movie recommendation systems. Even though there have been improvements, recommendation systems still require effort to improve their ability to provide reliable suggestions for a larger variety of operations.
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