协同过滤算法在推荐系统中的应用  

The Application of Collaborative Filtering Algorithm in Recommendation System

作　　者：柳宇 蔡欣华 申小玲 梁琨[1] 刘松[3] Liu Yu;Cai Xinhua;Shen Xiaoling;Liang Kun;Liu Song(Faculty of Computer Science and Engineering,Xi'an University of Technology,Xi'an Shaanxi 710048,China;Laboratory Management Office,Xi'an University of Technology,Xi'an Shaanxi 710048,China;Dept.of Strip Rolling Technology,China Heavy Machinery Research Institute Co.,Ltd.,Xi'an Shaanxi 710032,China)

机构地区：[1]西安理工大学计算机科学与工程学院,陕西西安710048 [2]西安理工大学实验室管理处,陕西西安710048 [3]中国重型机械研究院股份公司板带轧制装备研究所,陕西西安710032

出　　处：《信息与电脑》2019年第21期38-40,共3页Information & Computer

摘　　要：随着电子商务的迅猛发展,用户推荐日益成为最新兴的市场需求之一,协同过滤算法在用户推荐领域发挥着举足轻重的作用。基于此,笔者从其实现原理与算法描述两个方面阐述了基于用户的协同过滤算法和基于项目的协同过滤算法,通过实验验证了该算法在用户推荐领域的有效性和巨大应用意义。希望本设计为该领域的发展提供了强有力的技术支持。With the rapid development of electronic commerce,user recommend becomes one of the latest market needs.Collaborative filtering algorithms play an important role in the field of users recommend.This paper described the user-based collaborative filtering algorithm and item-based collaborative filtering algorithm from algorithm implementation and algorithm description.At last,experimental results show that the algorithm is effective and significant in user recommendation.This paper provides strong technical support for the development of user recommend.

关 键 词：协同过滤 基于用户 基于项目 推荐系统 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]