AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
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
Visualizing complex feature interactions and feature sharing in genomic deep neural networks
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2957-4
Abstract: Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a… read more here.
Keywords: feature sharing; deep neural; neural networks; feature ... See more keywords