Neural News Recommendation with Long- and Short-term User Representation（LSTUR)
Time：ACL2019會議論文 Author：Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie Abstract 論文介紹了一種能同時學習用戶長期、短期興趣的方法來推薦新聞。 新聞編碼器：從新聞標題和一級、二級類目中學習新聞的表示，並使用注意力機制來選擇重要的詞 用戶編碼器：從用戶id的embedding中
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相關文章
- 1. 【論文理解】Graph Neural News Recommendation with Unsupervised Preference Disentanglement
- 2. 2018_WWW_DKN- Deep Knowledge-Aware Network for News Recommendation
- 3. 論文筆記之《Neural User Response Generator: Fake News Detection with Collective User Intelligence》
- 4. 推薦系統論文筆記---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. 推薦系統論文：Neural News Recommendation with Attentive Multi-View Learning
- 9. Graph Neural Networks for Social Recommendation
- 10. 推薦系統論文閱讀：User Profiling based Deep Neural Network for Temporal News Recommendation