6 citations · 17 across the 6 of their papers we have counts for
4 papers · 1 filter
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
Yang Yu, Fangzhao Wu, Chuhan Wu +2
News recommendation is a widely adopted technique to provide personalized news feeds for the user. Recently, pre-trained language models (PLMs) have demonstrated the great capabili…
UserBERT: Contrastive User Model Pre-training
Chuhan Wu, Fangzhao Wu, Yang Yu +3
User modeling is critical for personalized web applications. Existing user modeling methods usually train user models from user behaviors with task-specific labeled data. However,…
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
Tao Qi, Fangzhao Wu, Chuhan Wu +4
User interest modeling is critical for personalized news recommendation. Existing news recommendation methods usually learn a single user embedding for each user from their previou…
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
Chuhan Wu, Fangzhao Wu, Yang Yu +3
Pre-trained language models (PLMs) like BERT have made great progress in NLP. News articles usually contain rich textual information, and PLMs have the potentials to enhance news t…