Which personalization technique is known as 'collaborative filtering' in retail recommendation algorithms?

In today's retail landscape, personalization algorithms shape our shopping experiences in ways we rarely notice. These sophisticated systems analyze countless data points to predict and influence consumer behavior. But how well do you understand the mechanics behind these retail recommendation engines? Test your knowledge of the technologies and strategies that silently guide your shopping decisions.

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Analyzing a customer's past purchases to recommend similar items they might like
Recommending products based on what similar customers have purchased or rated highly
Using geographic location data to suggest locally relevant products
Presenting limited-time offers based on a customer's browsing history