warchildmd/game2vec
TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
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.
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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.
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Last pushed
Feb 12, 2019
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