… of individual tweets and exploiting tweets for user modeling are non-trivial problems. In this
… user modeling and evaluate the quality of user models in the context of recommending news …

… Different from these methods, we propose Candi-SelfAtt and Candi-CNN to exploit
candidate news to guide the user modeling from both long-range and local behavior contexts. …

… be not optimal for satisfaction modeling. In this paper, we propose a user modeling method
for news recommendation which can model user interest from both news click behaviors and …

… contexts of these behaviors for user interest modeling. In this paper, we propose a novel
user modeling approach for news recommendation, which models each user as a personalized …

… a coarse-grained user model to better summarize user interest from news-level behavior …
a news encoder to transform user’s clicked news into embeddings. Details of the news encoder …

… study user modeling … user profiles, we present a framework that allows us to enrich the
semantics of individual Twitter messages and features user modeling as well as trend modeling …

… user model that consists of separate models of a user's long-term and short-term interests.
Second, we show how the user model … to the user. We evaluate the proposed algorithm on …

… model to jointly model different bias features and their interactions. • We propose a bias-aware
user modeling method to infer accurate user … debiased news recommendation models. • …

… Extensive experiments on two real-world datasets validate our method can effectively
improve the performance of user modeling for personalized news recommendation. …

… of user interests in real-world news recommender systems, and then propose a novel … in
news recommendation, it is typical that a user has a reading sequence over the recommended …