Video Games dataset for multimedia features

Ikram, Fasiha

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

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Information Systems

Field

Computer Science

Domain

Physical Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

Recommender systemsIndustry economics and industrial organisation

Normalization Factors

FT

51.92

CTw

1.00

MTw

1.00