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作 者:Hongzhi LI Dezhi HAN
机构地区:[1]College of Information Engineering,ShanghaiMaritime University,Shanghai 201306,China
出 处:《Frontiers of Computer Science》2021年第4期207-209,共3页中国计算机科学前沿(英文版)
摘 要:1 Introduction and main contributions Nowadays,the problem of information overload of Internet applications is becoming more and more serious,which makes it difficult for users to choose what they really like.Various kinds of recommendationmodels are widely used to help users locate information.In general,recommendation models are utilized to recommend items for users by predicting their preferences,which can be divided into collaborative filtering,content-based,and hybrid approaches.
关 键 词:FILTERING SCHEME utilized
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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