Web Reference: Jun 21, 2017 · In this paper, we propose a novel model: Deep Interest Network (DIN) which tackles this challenge by designing a local activation unit to adaptively learn the representation of user interests from historical behaviors with respect to a certain ad. Mar 8, 2020 · 为了提高模型的表达能力，提出了DIN模型，它用于激活相关的用户行为，并获得用户兴趣自适应的表征向量，该向量可以随着候选广告的不同而变化。 另外，提出了两种技术，用于帮助训练工业界的神经网络，并可以提高 DIN网络 的效果。 Jul 27, 2023 · 论文提出的DIN能给定一个候选的item，考虑用户历史行为，自适应的计算用户的向量表示。 与候选item相关性高的历史行为，对用户向量表示的贡献就大，反之就小，不同的候选item得到的用户向量不一样。 同时，还提出另外2个创新点。
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