毕业设计之用Python写学习推荐系统(完整代码+数据).zip

上传者: 38735017 | 上传时间: 2023-04-03 19:03:52 | 文件大小: 27KB | 文件类型: ZIP
概述 数据集:Amazon商品数据集 编程环境:Python, Matlab, Markdown 1. 数据预处理 商品信息 提取数据集中的title和description信息 命令:python item_information.py [file1, ..., file3] 用户物品评分信息 提取用户-物品评分,划分train集和test集 将train集中的用户作为用户全集,以防止出现train集中有用户没有评分的情况 命令:python user_information.py [file1, ..., file7] 商品相似度生成 title: 分词 + LDA主题模型(topic number = 15) description: 分词 + LDA主题模型(topic number = 15) 未使用price(缺失值太多) 未使用category(同类商品) 命令:python item_similarity.py [topic number, file1, ..., file6] 商品description和title相似度权重生成 non linear regr

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