Deep learning in news recommender systems: A comprehensive survey, challenges and future trends

A Hotspot-Aware Personalized News Recommendation Mechanism Based on DistilBERT-TC-MA

“…The task of news recommendation is to deliver news resources to users that they might find interesting from a plethora of news information, effectively filtering out irrelevant news, and meeting diverse user demands for news information to enhance the quality of their reading experience. Many current research efforts (Talha et al, 2023) analyze user historical behavior, click records, and other personalized information to establish user interest models, uncover user interests, and more precisely predict user interests in different topics and keywords. Initially, many works adopt machine learningbased methods, such as (Liu et al, 2010), who design a model based on user click behavior.…”