摘要
针对传统移动信息服务由于缺乏个性化信息检索和推送等有效手段,难以满足农业用户多变的生产流通需求问题,提出了一个基于情境感知计算的个性化农业信息服务模型。利用用户类型、地区等多因子建立用户分类库,建立了具有6层结构的多维情境感知计算模型,实现用户兴趣的计算,基于按需推送、定期定时、更新驱动3种形式实现农业信息的个性化智能推送,并基于提出的方法实现了农业信息个性化信息服务系统。通过对比实验证明:该系统能够识别和预测用户兴趣偏好,有针对性地向用户提供所需内容,满足了不同用户的个性化需求。
A personalization agricuhure information service model based on context-aware computing is proposed in this paper aiming at the problem that traditional mobile information service cannot meet the changeable production and circula- tion requirements of the agriculture users for lacking of personalization information retrieval and pushing. A classified user library based on the user types, regions and other factors, and a multidimensional context-aware computing model with six-layer structure are both established to achieve the computing of users＇ interests. Besides, three methods that pushing in need, pushing at regular intervals and pushing updating driven are proposed to achieve the personalized intelligent pushing of agriculture information. A personalization information service system is established according to the model. The results of comparison experiment show that the system can recognize and predict users＇ interests and preferences, provide contents that users need, meet the personalized requirements, and improve the veracity and validity of the service.
出处
《农机化研究》
北大核心
2012年第11期10-13,共4页
Journal of Agricultural Mechanization Research
基金
国家核高基专项(2010ZX01045-001-004)
国家"十二五"科技支撑计划项目(2011BAD21B02)
国家自然科学基金项目(60871042)
北京市科技新星项目(2009B26)
关键词
农业信息化
情境感知计算
个性化推送
智能推送
agricultural informatization
context-aware computing
personalization push
intelligent push
