FedNRM: A Federal Personalized News Recommendation Model Achieving User Privacy Protection
Shoujian Yu, Zhenchi Jie, Guowen Wu, Hong Zhang, Shigen Shen
Abstract
In recent years, the type and quantity of news are growing rapidly, and it is not easy for users to find the news they are interested in the massive amount of news. A news recommendation system can score and predict the candi... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
Computer scienceRepresentation (politics)User modelingWorld Wide WebTerm (time)Recommender systemInformation retrievalInternet privacyUser interfacePolitical sciencePoliticsOperating systemLawQuantum mechanicsPhysicsRecommender Systems and TechniquesPrivacy-Preserving Technologies in DataCaching and Content Delivery