Personalized news recommendation: Methods and challenges
Personalized news recommendation is important for users to find interesting news
information and alleviate information overload. Although it has been extensively studied …
information and alleviate information overload. Although it has been extensively studied …
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation
In modern days, making recommendation for news articles poses a great challenge due to
vast amount of online information. However, providing personalized recommendations from …
vast amount of online information. However, providing personalized recommendations from …
Perconet: News recommendation with explicit persona and contrastive learning
Personalized news recommender systems help users quickly find content of their interests
from the sea of information. Today, the mainstream technology for personalized news …
from the sea of information. Today, the mainstream technology for personalized news …
Design of news recommendation model based on sub-attention news encoder
W Zhang - PeerJ Computer Science, 2023 - peerj.com
To extract finer-grained segment features from news and represent users accurately and
exhaustively, this article develops a news recommendation (NR) model based on a sub …
exhaustively, this article develops a news recommendation (NR) model based on a sub …