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The Continuous Cold-start Problem in e-Commerce Recommender Systems.

Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller

摘要(来源:arXiv.org):

Abstract: Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available ...This paper exposes the `Continuous Cold Start' (CoCoS) problem and its consequences for content- and context-based recommendation from the viewpoint of typical e-commerce applications, ...

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