Future Movie Rating Prediction using Machine Learning : Survey |
Author(s): |
| Akshata More , MMCOE, College of Engineering, Pune; Sukanya Ladi, MMCOE, College of Engineering, Pune; Gayatri Sinnarkar, MMCOE, College of Engineering, Pune; Prathamesh Shilarkhane, MMCOE, College of Engineering, Pune; Prof. Vandana. S. Rupnar |
Keywords: |
| Movies Rating Prediction, Machine Learning |
Abstract |
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Movies rating prediction using Machine learning is one of the most interesting and difficult tasks. Many websites are designed to estimate rating of released movies, Storing movies data and generation of simple statistics. Some websites and systems are using decision support systems, but they are largely limited. They can respond to simple queries like "What is the average date of release movies for a particular actor, directors and so on?", "How many movies had released in 10 days?", "how many awards had to achieved by an actor in the current year?" Still, they cannot answer complex queries like "Give a possibility of the forthcoming movie? Is it hit or not?" and so on. Hence, there is a need to develop a system that can answer such a question. This paper gives the survey of the different techniques used by the researcher for predicting movie ratings. |
Other Details |
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Paper ID: IJSRDV6I100212 Published in: Volume : 6, Issue : 10 Publication Date: 01/01/2019 Page(s): 642-644 |
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