Recommendation engines are some of the earliest algorithms on the consumer web, utilizing various filtering techniques to surface content users might want to engage with.
Despite advancements in algorithms and AI, platforms like Pinterest continue to misinterpret user preferences, suggesting content that is outdated or irrelevant to their current interests.
The experience with Pinterest exemplifies a wider issue where recommendation systems, even in the age of AI, struggle to adapt to changing user needs and contexts.
Even after significant time has passed since my wedding was canceled, Pinterest's recommendations still align with a version of me that no longer exists.
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