Deep Interest Network for Click-Through Rate Prediction
KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining London United Kingdom August, 2018, pp. 1059-1068, 2018.
Click-through rate prediction is an essential task in industrial applications, such as online advertising. Recently deep learning based models have been proposed, which follow a similar Embedding&MLP paradigm. In these methods large scale sparse input features are first mapped into low dimensional embedding vectors, and then transformed i...更多