AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction
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DOI: 10.1109/tkde.2020.3016482
Abstract: Feature combinations are essential for the success of many web applications, such as personalised recommendation and online advertising. State-of-the-art methods usually model explicit feature interactions to help neural networks reduce the number of parameters and… read more here.
Keywords: order feature; autohash; feature; prediction ... See more keywords