Which retail personalization algorithm, introduced in 2012, revolutionized product recommendations by analyzing both collaborative filtering and content-based data, and was originally developed by Amazon?

In today's competitive retail landscape, personalization algorithms have transformed how companies interact with customers. These sophisticated systems analyze purchasing patterns, browsing history, and demographic information to create tailored shopping experiences. Test your knowledge about one of retail's most powerful personalization algorithms and the company that pioneered its implementation at scale.

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P13N (Personalization at 13 dimensions)
DSSTNE (Deep Scalable Sparse Tensor Network Engine)
RetailSense Matrix
ShopIQ Neural Network