De-biased dart ensemble model for personalized recommendation

Abstract

Personalized recommendation aims to use the historical behavior of users to recommend new items that are likely to be of interest to them. Due to a tiny improvement of it can lead to a huge profits, lots of giant e-commerce companies, such as Amazon, Alibaba and eBay, have put their great effort on this field. In this paper, we formulate the problem of… (More)
DOI: 10.1109/ICME.2017.8019536

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