Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 03008 | |
Number of page(s) | 6 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20203203008 | |
Published online | 29 July 2020 |
MoView Engine : An Open Source Movie Recommender
1 Ramrao Adik Institute of Technology Nerul, Information Technology Department, India
2 Ramrao Adik Institute of Technology Nerul, Information Technology Department, India
3 Ramrao Adik Institute of Technology Nerul, Information Technology Department, India
1* Ramrao Adik Institute of Technology Nerul, Information Technology Department, India
Recommendation is an ideology that works as choice-based system for the end users. Users are recommended with their favorite movies based on history of other watched movies or based on the category of the movies. These types of recommendations are becoming popular because of their ability to think and react as human brain. For this purpose, deep learning or artificial intelligence comes into picture. It is the ability to think as a human brain as give the output best suited to the end users liking. This paper focuses on implementing the recommendation system of movies using deep learning with neural network model using the activation function of SoftMax to give an experience to users as friendly recommendation. Moreover, this paper focuses on different scenarios of recommendation like the recommendation based on history, genre of the movie etc.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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