Which personalization algorithm is most commonly used by major gaming platforms (like Steam, Epic Games Store, and PlayStation Store) to recommend new games to players?

In the rapidly evolving world of gaming and virtual worlds, in-game stores and marketplaces use sophisticated algorithms to personalize shopping experiences for players. These systems analyze gameplay data, purchase history, and social connections to recommend items, create special offers, and drive engagement. How well do you understand the technology behind these virtual shopping experiences that drive billions in revenue each year?

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Collaborative Filtering - analyzing similar users' preferences to make recommendations
Random Forest Mapping - using decision trees to predict future purchases based on gameplay achievements
Temporal Sequence Modeling - recommending games based primarily on seasonal release schedules
Neural Sentiment Analysis - analyzing player reviews and forum comments to determine game compatibility