MoView Engine : An Open Source Movie Recommender

Vallari Manavi, Anjali Diwate, Priyanka Korade, Anita Senathi
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引用次数: 1

Abstract

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.
MoView引擎:一个开源的电影推荐
推荐是一种意识形态,为最终用户提供基于选择的系统。根据其他看过的电影的历史或基于电影的类别,向用户推荐他们最喜欢的电影。这类建议正变得越来越受欢迎,因为它们具有像人脑一样思考和反应的能力。为此,深度学习或人工智能进入了人们的视野。它是一种像人类大脑一样思考的能力,可以给出最适合最终用户喜欢的输出。本文的重点是利用SoftMax的激活函数,利用深度学习和神经网络模型实现电影推荐系统,给用户一种友好推荐的体验。此外,本文还重点研究了基于历史、电影类型等不同场景的推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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