基于用户评论的卷积推荐神经网络系统

P. Kirubanantham, A. Saranya, D. Kumar
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引用次数: 0

摘要

如今,每个用户都是根据电影的故事排名来购买电影票的。一些用户喜欢恐怖片、打斗片和其他类型的电影;同样,用户可以选择电影并购买电影票。在我们提出的模型中,我们使用带有推荐系统的神经网络,根据电影评分和反馈为用户提供更好的电影。基于用户之前的电影体验,我们可以使用神经网络获得更好的准确率和更好的电影。我们根据用户反馈和评分提高了模型中电影的准确性和预测水平。与现有的电影系统相比,我们提出的模型提供了更好的准确性,并建议用户享受订票。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convolutional Recommended Neural Network system based on user reviews for movies
Nowadays, every user purchases a ticket based on the movie's story ranking. Some users enjoy horror films, fight films, and other genres; similarly, users can choose a film and purchase a ticket. In our proposed model, we use a Neural Network with a recommended system to provide better movies to users based on movie ratings and feedback. We can get better accuracy and have better movies by using Neural Networks based on the user's previous movie experience. We improved the accuracy and prediction level of the movies in our proposed model based on user feedback and ratings. Compared to the existing movie system, our proposed model provides better accuracy and recommends that the user enjoy the tickets booking.
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