【摘要】 随着智能手机用户量的不断上升,医疗信息服务逐渐应用于客户端上,同时伴随着医疗服务信息量的日益增长,移动医疗信息服务应用中出现了信息过载和用户访问效率偏低的现象。针对这种情况,对现有医疗信息服务平台在智能手机上的应用进行研究,并根据移动应用中基于地理位置服务的特殊性和LBS推荐系统的特殊要求,提出基于情境信息的医疗信息服务推荐系统框架。通过对获取到的用户位置及当前时间、天气、环境、交通等丰富的情境信息进行分析,使用基于规则的推荐方法以降低计算量,实现在线个性化智能推荐服务。结果表明,融合了丰富情境信息的移动医疗信息服务平台中的推荐,使得推荐更加个性化,更加符合用户需求。更多还原

【Abstract】 With the increasing of the intelligent mobile phone users,the medical information service is gradually applied to the client,and at the same time,along with the increasing of medical service information,the phenomena of information overload and low efficiency of user access appear in application of mobile medical information service. According to the particularity of location-based services and the special requirements of LBS recommendation system in mobile applications,the medical information service recommendation system framework based on the situational information was presented. Based on the analysis of the acquired user′s location,and the current time,weather,environment,transportation and other rich situational information,rule-based recommended method is used to reduce the amount of calculation,and implement the online personalized intelligent recommendation service. The recommendation of mobile medical information service platform combined with rich situational information makes recommendation more personalized,and meet users′ requirement more.更多还原