The Rise of Deep and Cross Networks in Recommender Systems
DCN is the leading architectural family on click prediction leaderboards - here's what's under the hood
The Deep and Cross neural network (DCN), introduced in Wang et al 2017, was an important breakthrough in recommender system modeling, demonstrating the significant performance gains from replacing the manual engineering of cross features in Wide&Deep-like architectures with an algorithmic approach that simply computes all possible feature crosses in a …
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