Mobile Recommender Systems and Their Applications

Mobile recommender systems have recently become one of the hottest topics in the domain of recommender systems.The main task of mobile recommender systems is to improve the performance and accuracy along with user satisfaction utilizing mobile context, mobile social network and other information.This paper presents an overview of the field of mobile recommender systems including key techniques, evaluation and typical applications.The prospects for future development and suggestions for possible extensions are also discussed.Key words: mobile recommender system; context; social network; application; survey 随着信息技术的迅速发展和信息内容的日益增长,"信息过载"问题愈来愈严重,给人们带来很大的信息负 担.推荐系统(recommender systems) [1][2][3] 被认为可以有效缓解此难题,从而得到学术界和工业界的广泛关注并加 以应用,取得了许多研究成果.推荐系统通过挖掘用户与项目之间(user-item)的二元关系,帮助用户从大量数据中发现其可能感兴趣的项目(如 Web 信息、服务、在线商品等),并生成个性化推荐以满足个性化需求.目前,推 荐系统在电子商务(如 Amazon、 eBay、 Netflix、 阿里巴巴、 豆瓣网、 当当网等)、 信息检索(如 iGoogle、 MyYahoo、 GroupLens、百度等)以及移动应用、电子旅游、互联网广告等众多应用领域取得较大进展 [4] .