摘要
信息爆炸式增长,使得用户很难快速精准地找到感兴趣的信息。为了解决这类问题,提出个性化推荐技术,其中协同过滤作为最早的推荐算法,广泛应用于各个领域。协同过滤技术与图书推荐相结合,改变了传统被动搜索的模式,主动向用户提供推荐。针对传统的协同过滤算法进行实例研究。
With the information explosion growth,it is diffi cult for users to quickly and accurately find the information of interest,in order to solve such problems,people put forward personalized recommendation technology,which collaborative filtering as the earliest recommendation algorithm is widely used in various fi elds.Collaborative filtering technology and book recommendation combined to change the traditional passive search model,take the initi ative to provide recommendations to users.In this paper,the collaborative fi ltering algorithm is studied.
出处
《中国教育技术装备》
2018年第8期61-62,共2页
China Educational Technology & Equipment
基金
国家社科基金项目(基金编号:17BY116)
关键词
协同过滤技术
图书推荐系统
个性化推荐技术
collaborative filtering technology
book recommendation system
personalized recommendation technology
作者简介
刘晓敏,河北大学管理科学与工程系硕士研究生,研究方向为个性化推荐技术。
