no code implementations • 12 Jun 2017 • Wang Jian, Kenthapadi Krishnaram, Rangadurai Kaushik, Hardtke David
We address the following problem: How do we incorporate user item interaction signals as part of the relevance model in a large-scale personalized recommendation system such that, (1) the ability to interpret the model and explain recommendations is retained, and (2) the existing infrastructure designed for the (user profile) content-based model can be leveraged?