视频网站推荐系统研究  

Video Website Recommendation System Research

作　　者：刘焱昕 LIU Yanxin(Shanxi University of Finance and Economics,Taiyuan 030006,China)

机构地区：[1]山西财经大学,山西太原030006

出　　处：《现代信息科技》2019年第3期18-19,21,共3页Modern Information Technology

摘　　要：如今推荐系统在很多领域都有着较好的应用,例如购物网站、新闻网站、检索网站和音乐视频网站等。尤其是视频网站,推荐系统各式各样,不同的视频网站都使用特定的推荐系统向用户进行个性化推荐,不同的推荐系统所实现的推荐效果也是不同的,每个推荐系统都有各自的优点和缺点。本文对近几年视频推荐系统的研究进行综述,介绍常用的推荐算法,并结合在实际中使用视频网站的体验,针对具体的视频网站指出其存在的问题并提出改进建议。Today’s recommendation system has good applications in many areas,such as shopping websites,news websites, search websites and music video websites. Particular in video websites have various recommendation systems. Different video websites use specific recommendation systems to personalize recommendations to users. Different recommendation systems implement different recommendation effects. Each recommendation system has its own advantages and diSadvantages. This paper summarizes the research of video recommendation system in recent years,introduces the commonly used recommendation algorithm,and combines the experience of using video website in practice,points out the existing problems and proposes improvement suggestions for specific video websites.

关 键 词：推荐系统 视频网站 用户行为 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]