Reducing offline evaluation bias of collaborative filtering algorithms

12 Jun 2015Arnaud De MyttenaereBoris GoldenBénédicte Le GrandFabrice Rossi

Recommendation systems have been integrated into the majority of large online systems to filter and rank information according to user profiles. It thus influences the way users interact with the system and, as a consequence, bias the evaluation of the performance of a recommendation algorithm computed using historical data (via offline evaluation)... (read more)

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