HieRec: Hierarchical user interest modeling for personalized news recommendation

T Qi, F Wu, C Wu, P Yang, Y Yu, X Xie… - arXiv preprint arXiv …, 2021 - arxiv.org
User interest modeling is critical for personalized news recommendation. Existing news
recommendation methods usually learn a single user embedding for each user from their …
被引用次数：79 相关文章

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

T Qi, F Wu, C Wu, P Yang, Y Yu, X Xie… - arXiv e …, 2021 - ui.adsabs.harvard.edu
User interest modeling is critical for personalized news recommendation. Existing news
recommendation methods usually learn a single user embedding for each user from their …

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

T Qi, F Wu, C Wu, P Yang, Y Yang, X Xie, Y Huang - taoqi98.github.io
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation Page 1
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation Tao …

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

T Qi, F Wu, C Wu, P Yang, Y Yu, X Xie… - Proceedings of the 59th …, 2021 - aclanthology.org
User interest modeling is critical for personalized news recommendation. Existing news
recommendation methods usually learn a single user embedding for each user from their …
[PDF] archive.org

[PDF][PDF] HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

T Qi, F Wu, C Wu, P Yang, Y Yu, X Xie, Y Huang - scholar.archive.org
User interest modeling is critical for personalized news recommendation. Existing news
recommendation methods usually learn a single user embedding for each user from their …

[引用][C] HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

T Qi, F Wu, C Wu, P Yang, Y Yu, X Xie, Y Huang