移动云计算中基于LBS的个性化服务推荐模型

随着智能手机的普及和3G技术的发展,信息呈指数式增长,从海量的信息中提取出用户感兴趣的内容已成为电子商务发展的一个重要趋势,然而传统的推荐策略已不能满足用户的需求.为此,基于移动云计算和位置信息,提出了一个个性化服务推荐模型解决方案,该方案综合了社交网络和时效性,建立了用户兴趣模型库.基于这个解决方案,在Android平台上,实现了初步的个性化图片推荐模型,取得了不错的效果.个性化服务推荐系统具有良好的发展和应用前景,能有效的保留客户,提高电子商务系统的服务能力,带来巨大的效益,具有一定的理论和现实意义.

Personalized Service Recommendation Model Based on Mobile Cloud Computing and Location

With the popularity of smart phones and the development of 3G technology,the amount of information grows dramatically fast,which makes it a trend to extract information that users are interested in from the world of information,but traditional recommendation methods can't meet the need of people.To solve this problem,the paper proposes a personalized service recommendation model based on mobile cloud computing and location.The model sets up the user interests model by combining social network and timeliness.A preliminary personalized picture recommendation model in android operation system is performed well.The research of personalized service can help to retain potential customers and bring huge benefits, thus it's meaningful in theory and practice.