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News Recommendation

  1. [ACL'2021] HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

  2. [ACL'2020] MIND: A Large-Scale Dataset for News Recommendation

简介：本文介绍了MIND数据集和几篇微软的baseline工作。

  1. [ACL'2020] Fine-grained Interest Matching for Neural News Recommendation

  2. [ACL'2020][Microsoft] Graph Neural News Recommendation with Unsupervised Preference Disentanglement

  3. [WWW'2020][Microsoft] Graph Enhanced Representation Learning for News Recommendation

  4. [IJCAI'2020] HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network

  5. [IJCAI'2020] User Modeling with Click Preference and Reading Satisfaction for News Recommendation

  6. [RecSys'2020] KRED: Knowledge-Aware Document Representation for News Recommendations

  7. [EMNLP'2019] Neural News Recommendation with Multi-Head Self-Attention

  8. [EMNLP'2019] Neural News Recommendation with Heterogeneous User Behavior

  9. [KDD'2019] NPA: Neural News Recommendation with Personalized Attention

    简介：本文在新闻推荐场景下，提出personalized attention机制，第一步首先根据转换后的user emb作为query向量聚合news下的words为新闻表征r，在此基础上再次以转换后的user emb为query向量聚合历史点击的news序列为新的用户表征向量u，最后以u和r的内积作为预测值，目标函数类似DSSM取sampled softmax，作为排序任务。评价指标为AUC和NDCG。

  10. [IJCAI'2019][Microsoft] Neural News Recommendation with Attentive Multi-View Learning

  11. [ICASSP'2019] Dense Multimodal Fusion for Hierarchically Joint Representation

  12. [IJCAI'2018] Towards Better Representation Learning for Personalized News Recommendations: A Multi-Channel Deep Fusion Approach

  13. [WWW'2018] DKN: Deep Knowledge-Aware Network for News Recommendation

  • [WI'2017] The Adressa Dataset for News Recommendation

    简介：Adressa新闻推荐数据集