This month, the Jacobs Technion-Cornell Institute at Cornell Tech and AOL announced an “Immersive Recommendations” research technology that allows users to opt into a toll that translates personal digital traces from one platform into content recommendations on another platform. The new technique addresses the “cold-start problem” of how to engage users with relevant content when they first begin using a platform.
While traditional recommendation systems are reaching diminishing returns and do not address the cold-start problem, the Immersive Recommendations algorithm builds individual user preference profiles, with the user’s authorization, based on multi-channel online activities. It...
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