STAMP: Short-Term Attention:Memory Priority Model for Session-based Recommendation简介

时间 2019-12-07

标签 stamp short term attention memory priority model session based recommendation 简介栏目网站开发繁體版

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STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation 介绍做者提出lstm虽然能很好的捕捉用户的整体的兴趣，可是做者指出lstm也许对于建模长的session是不够有效的，所以做者提出STAMP，不只捕捉用户总体的兴趣同时也将用户当前的兴趣归入考虑。html 方法 STMP 文章首先介

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1. STAMP: Short-Term Attention:Memory Priority Model for Session-based Recommendation简介
2. 【文献阅读】 2018-SIGKDD-STAMP:Short-Term Attention/Memory Priority Model for Session-based Recommendation
3. NAIS: Neural Attentive Item Similarity Model for Recommendation简析
4. Deep Learning Recommendation Model for Personalization and Recommendation Systems
5. Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
6. A Dynamic Recurrent Model for Next Basket Recommendation
7. #Paper Reading# Deep Learning Recommendation Model for Personalization and Recommendation Systems
8. Feature Re-Learning with Data Augmentation for Content-based Video Recommendation简介
9. GNN:Session-based Recommendation with Graph Neural Networks简介
10. Next Item Recommendation with Self-Attention简介
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1. STAMP: Short-Term Attention:Memory Priority Model for Session-based Recommendation简介
2. 【文献阅读】 2018-SIGKDD-STAMP:Short-Term Attention/Memory Priority Model for Session-based Recommendation
3. NAIS: Neural Attentive Item Similarity Model for Recommendation简析
4. Deep Learning Recommendation Model for Personalization and Recommendation Systems
5. Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
6. A Dynamic Recurrent Model for Next Basket Recommendation
7. #Paper Reading# Deep Learning Recommendation Model for Personalization and Recommendation Systems
8. Feature Re-Learning with Data Augmentation for Content-based Video Recommendation简介
9. GNN:Session-based Recommendation with Graph Neural Networks简介
10. Next Item Recommendation with Self-Attention简介

>>更多相关文章<<