Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling

25 Jun 2019Guorui ZhouKailun WuWeijie BianZhao YangXiaoqiang ZhuKun Gai

Recently, click-through rate (CTR) prediction models have evolved from shallow methods to deep neural networks. Most deep CTR models follow an Embedding\&MLP paradigm, that is, first mapping discrete id features, e.g. user visited items, into low dimensional vectors with an embedding module, then learn a multi-layer perception (MLP) to fit the target... (read more)

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