关键词: 智能信息处理, 个性化信息服务, 分类, 推荐

Abstract:

Personalized information service is studied for providing high quality mobile information service to mobile users. Based on the mobile off-line reading system, an algorithm of the individuation recommendation service is proposed. The K near neighbors classification method is adjusted so as to trace, log, model and analyze the series of users’ actions for news browsing. Then the personalized features are classified and saved, and could be used later in the system to provide the real-time individual information recommendation for each user’s access to news. Simulation experiment result has certified the utility and feasibility of the individual recommendation algorithm. The accuracy of the recommendation can reach 70%.

Key words: intelligent information dispose, individuation information service, classification, recommend