NPA applies CNN-based news encoding and personalized attention (word- and news-level) driven by user ID embeddings to improve click prediction on an MSN news dataset.
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2019 2verdicts
UNVERDICTED 2representative citing papers
MA-DNN augments DNNs with per-user memory vectors capturing likes and dislikes to exploit historical behavior for CTR prediction while remaining simpler than RNNs.
citing papers explorer
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NPA: Neural News Recommendation with Personalized Attention
NPA applies CNN-based news encoding and personalized attention (word- and news-level) driven by user ID embeddings to improve click prediction on an MSN news dataset.
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Click-Through Rate Prediction with the User Memory Network
MA-DNN augments DNNs with per-user memory vectors capturing likes and dislikes to exploit historical behavior for CTR prediction while remaining simpler than RNNs.