Movie-Analysis:使用机器学习算法的电影推荐系统以及票房预测系统-源码

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电影数据分析 刘家硕计63 2016011286 一,实验概述 1.实验目标 本项目希望基于电影数据集,依据电影的简介,关键字,预算,票房,用户评分等特征来对电影进行分析,并完成以下任务: 对电影特征的可视化分析 对电影票房的预测 多功能个性化的电影推荐算法 2.数据集 针对票房预测部分,本项目使用了收集数据集的7398条电影信息,包含了id,预算,电影主页,票房,语言,时长,评分,受欢迎度等特征,全部数据可见于中。 针对电影推荐部分,本项目使用了收集数据集的TMDB5000数据集以及收集自电影数据集的部分数据,包含了id,预算,内容简介,关键字等特征,并且包含了用户对电影的评分矩阵,全部数据可见于中。 3.实验完成情况 完成了对电影特征的可视化分析。 完成了基于电影特征的电影票房预测算法,并在Kaggle的TMDB票房预测比赛中最终取得了前6.8%(95/1400)的成绩。 完成了基于简

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