移动网络环境下情景敏感的个性化信息推荐系统研究

The Mobile Network Environment Situation Sensitive Personalized Information Recommendation System

对情景敏感和个性化需求响应是移动网络环境下信息推荐的两大触发因素。针对目前移动环境下信息服务未融入情景敏感这一因素以及信息推荐的个性化程度低和准确性差的现状,提出采用"LBS+AR+多层关联规则"三维立体式个性化信息推荐方法。采用GPS/GIS技术实现精确定位,利用基于模型的多层级关联推荐算法避免稀疏性和难于扩展问题,采用AR(增强现实)技术实现可视化的信息推送,通过构建移动网络环境下情景敏感的个性化信息推荐系统实现为用户提供个性化、可视化的信息推送服务。

Sensitive to the scenario and response to the individual needs are two triggers of information recommendation in the mobile network environment. For the factor of scenario sensitive is not integrated into information service of current mobile environment, the degree of personalization is low and accuracy of the information recommended is not satisfied. On this background, a personalized rec- ommendation method has been proposed which is a three-dimensional type of ＂LBS ＋ AR ＋ Multi-level association rules＂. This method adopts GPS/GIS technology to achieve accurate positioning and model-based multi-level recommendation algorithm to avoid data sparse- hess and sealability problems, and takes use of AR（ Augmented Reality） to achieve the goal of pushing information visually. A scenario -sensitive personalized information recommendation system in the mobile network environment has ＇also been built to provide users with personalized and visual information push service.