warchildmd/game2vec

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

27
/ 100
Experimental

This project helps game platform managers and researchers understand game relationships by analyzing which games users own and play. It takes a dataset of user game libraries and playtimes as input, and outputs a map of games where similar titles are grouped together, along with a list of games that are most similar to any given game. This is useful for anyone interested in game recommendation, market analysis, or understanding player behavior.

No commits in the last 6 months.

Use this if you need to identify clusters of similar games or find direct recommendations based on player ownership and playtime data.

Not ideal if you require real-time recommendations or a system that incorporates external game features like genres or tags.

game-recommendation player-behavior game-market-analysis gaming-platforms game-similarity
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 10 / 25

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Jupyter Notebook

License

Last pushed

Feb 12, 2019

Commits (30d)

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