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Home / programming language / Online Java Projects / Orbit : Hybrid movie recommendation engine
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Orbit : Hybrid movie recommendation engine

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SKU: PRO9270 Categories: 2018-2019 Projects, Datamining Projects, Online Java Projects Tags: 2018 projects, 2019 projects, accuracy, F-measure, Hybrid recommendation, ORBIT, precision, recall
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Orbit : Hybrid movie recommendation engine

Abstract-Today, users will get so many movie recommendations websites, which suggest users best movies according to their interests. All these websites have implemented one of the conventional content, context and collaborative recommendations algorithms. Alone, these algorithms are failed to recommend best and efficient
recommendations to user. So, there is a need to evolve a unique algorithm which combines the features of conventional algorithm along with its new features. This paper describes the ORBIT, which is a movie recommendation engine, based on a unique Hybrid recommendation algorithm, satisfies a user by providing best and efficient books recommendations. Comparative case study of conventional recommendation algorithms to ORBIT’s Hybrid movie recommendation algorithm has also been studied and presented in this paper. This case study is based on evaluating criteria of recommendation algorithm i.e. accuracy, precision, recall, Fmeasure etc. Results of this case study are represented in the form of tables and graphs to clearly specify the need of ORBIT.

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