Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
FGCNN model automatically generates and combines new features using CNNs and learns interactions with IPNN, significantly improving CTR prediction performance.
- Year
- 2019
- Venue
- arXiv 2019
- Authors
- 6
- Hosting
- Abstract onlyARXIV-DEFAULT
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Attribution
- Abstract & full text
- arxiv.org/abs/1904.04447ARXIV-DEFAULT
- TL;DR
- Semantic Scholar