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Every month, Pinterest processes 150 million image searches in its bid to help users find things they’re most interested in. It is increasingly turning to machine learning to surface content that resembles objects its users have already pinned—so if someone pins a picture of, say, a mid-century table, it will automatically recommend that they might want to look at pictures of other furniture from the same era. The company even hopes to update its mobile app in the near future to let users take photos of objects with their smartphone camera and then get instant recommendations of similar items.

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