Amazon Reviews Data

Amazon Reviews Data是由加州大学圣地亚哥分校(UCSD)的McAuley实验室收集的大规模亚马逊产品评论数据集，包含5.715亿条评论、4800万个商品和5451万用户，时间跨度从1996年5月至2023年9月。数据集包含用户评论(评分、文本、有用性投票等)、商品元数据(描述、价格、原始图片等)以及链接(用户-商品/共同购买图谱)。该数据集采用松散的JSON格式存储，适用于推荐系统和个性化研究。The Amazon Reviews Data is a large-scale Amazon product review dataset collected by the McAuley Lab at the University of California, San Diego (UCSD). It contains 571.5 million reviews, 48 million products and 54.51 million users, covering the period from May 1996 to September 2023. The dataset includes user review-related information such as ratings, review texts, helpfulness votes, etc., product metadata including descriptions, prices, original product images, etc., as well as relational links (user-item interaction graphs and co-purchase networks). It is stored in a loose JSON format and is applicable to research in recommendation systems and personalization.

搜集汇总

背景与挑战

背景概述

该数据集是Amazon产品评论的大规模集合，包含超过5.7亿条评论、4800万种商品和5450万用户，时间跨度从1996年到2023年。它提供了丰富的用户反馈（评分、文本、图像）和商品元数据（价格、描述等），以及用户-商品和商品之间的协同关系信息。