Special topic on cloud-edge collaboration for on-device recommendation  

作　　者：Hongzhi YIN Bin CUI Xiaofang ZHOU Tong CHEN Quoc Viet Hung NGUYEN Xiangliang ZHANG 

机构地区：[1]The University of Queensland,Australia [2]Peking University,China [3]The Hong Kong University of Science and Technology,China [4]Griffith University,Australia [5]University of Notre Dame,USA

出　　处：《Science China(Information Sciences)》2025年第4期1-2,共2页中国科学(信息科学)(英文版)

摘　　要：In numerous e-commerce and online service platforms,cloud-based recommender systems(RSs)have long been regarded as a powerful tool to mitigate information overload and provide personalized experiences for end-users.However,traditional cloud-based RSs face inevitable challenges such as resource-intensive computation,reliance on network access,and privacy breaches.With the growing public demand for algorithmic trustworthiness and emerging privacy legislation,a new paradigm called on-device recommender systems(ODRSs)has become prevalent in recent years.

关 键 词：network access cloud based recommender systems resource intensive computation cloud edge collaboration algorithmic trustworthiness online service platforms mitigate information overload e commerce 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]