Video Games dataset for multimedia features

The Amazon and Google video game datasets contain metadata and user interaction data for video games on each respective platform. They provide essential features like game title, genre, platform, release date,images links and user reviews. These datasets are used in experiments to reproduce results from prior research on video game recommendation systems, enabling the evaluation and comparison of recommendation accuracy across platforms. By analyzing features unique to each dataset, this approach aids in validating the robustness of recommendation models and optimizing their accuracy for personalized game recommendations

亚马逊与谷歌游戏数据集（Amazon and Google video game datasets）分别收录了对应平台电子游戏的元数据（metadata）与用户交互数据，涵盖游戏名称、游戏类型、运行平台、发售日期、图片链接与用户评论等核心特征。此类数据集可用于复现过往电子游戏推荐系统相关研究的实验结果，支持跨平台的推荐准确率评估与对比。通过分析各数据集独有的特征，该方法能够验证推荐模型的鲁棒性，并优化个性化游戏推荐的准确率。

搜集汇总

背景与挑战

背景概述

该数据集包含Amazon和Google平台的视频游戏元数据和用户交互数据，主要用于视频游戏推荐系统的研究和比较，具有游戏标题、类型、平台、发布日期、图片链接和用户评论等关键特征。