Neural News Recommendation with Long- and Short-term User Representation（LSTUR)

时间 2021-01-09

标签 Recommendation System 繁體版

原文原文链接

Time：ACL2019会议论文 Author：Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie Abstract 论文介绍了一种能同时学习用户长期、短期兴趣的方法来推荐新闻。新闻编码器：从新闻标题和一级、二级类目中学习新闻的表示，并使用注意力机制来选择重要的词用户编码器：从用户id的embedding中

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1. 【论文理解】Graph Neural News Recommendation with Unsupervised Preference Disentanglement
2. 2018_WWW_DKN- Deep Knowledge-Aware Network for News Recommendation
3. 论文笔记之《Neural User Response Generator: Fake News Detection with Collective User Intelligence》
4. 推荐系统论文笔记---Neural News Recommendation with Attentive Multi-View Learning
5. Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks（LSAMN）
6. Paper Notes: Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommenda
7. Chinese news site dispense with user anonymity
8. 推荐系统论文：Neural News Recommendation with Attentive Multi-View Learning
9. Graph Neural Networks for Social Recommendation
10. 推荐系统论文阅读：User Profiling based Deep Neural Network for Temporal News Recommendation

>>更多相关文章<<