Utilizing tensor factorization strategies on user-context tensor, our model Good considerably improves prediction over baseline strategies which can be relevant and amenable to similar kinds of problems. Importantly, Good delivers enchancment across all prediction tasks. As for the regression duties of predicting kills, deaths, assists, and KDA, Good produces better results than baselines for all […]
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