个性化搜索引擎中用户协作推荐算法的研究

Research on the User Collaborative Recommendation Algorithm in Personalized Search Engine

个性化信息服务越来越成为信息检索领域中研究的热点,文章综合内容过滤和协作过滤两种技术的优点,给出了一种个性化搜索引擎系统的体系结构,并在此基础上提出了用户协作推荐算法。模拟实验表明,该结构和算法能够有效地推荐出与用户意图相关的信息,并且具有良好的可适应性。

Personal information service is becoming more and more important in information retrieval system. The advantages of Content-based Filtering and the Collaborative Filtering technique are combined to a new technology approach, and a kind of intelligent architecture for personalized search engine is built in the paper. Based on it, a user collaborative recommendation algorithm is presented. Simulation tests proved that such architecture and algorithm could recommend relevant information for users effectively and have superior adaptability.