计算机应用研究2016，Vol.33Issue(5)：1315-1318,4.DOI:10.3969/j.issn.1001-3695.2016.05.008
情境感知和兴趣适应的农业信息推荐模型
Context-aware and interest adaptation agricultural information recommendation model
摘要
Abstract
Personal recommendation was a key technology to match farmers ’ requirements and agricultural information services.Traditional recommendation algorithms based on browsing behaviors could mine users’interests,but could not reflect the change of users’interests.The algorithms incorporated with time-based data weight could realize self-adaptive mechanism. Contextual information such as region,time,and agricultural production categories were relevant with farmers’preferences. However,the existing algorithms seldom involved the contextual information.Synthesizing several factors including context, browsing behaviors and interest change,based on the vector space model(VSM),this paper proposed a context-aware and in-terest adaptation agriculture information recommendation algorithm.Experimental results show that the proposed algorithm can efficiently improve the recommendation precision and quality.关键词
农业信息/个性化推荐/情境感知/兴趣适应Key words
agricultural information/personal recommendation/context-aware/interest adaptation分类
信息技术与安全科学引用本文复制引用
张新香..情境感知和兴趣适应的农业信息推荐模型[J].计算机应用研究,2016,33(5):1315-1318,4.基金项目
国家教育部人文社科青年基金资助项目（12YJCZH286）；国家自然科学基金资助项目（71373286）；2011年度中央高校基本科研业务费青年教师资助项目 （）
