Description
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
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Publication Details
DOI
Publisher
figshare
Subfield
Information Systems
Field
Computer Science
Domain
Physical Sciences
Confidence Score
55%
Source
Scholar Data Model