【摘要】 信息过滤技术是解决“信息过载”和“信息迷向”问题的有效手段。为高效地确立用户的信息需求模型,文中提出一种新颖的合作过滤方法。该方法采用动态遗传算法进行启发式特征术语的选择,可以有效地与其它用户分享信息选择经验,借以优化用户模型,提高信息选择的质量。实验验证了方法的有效性。更多还原

【Abstract】 Information Filtering(IF) is one of the methods that are rapidly evolving to manage large information flows.To build user model effectively,this paper sets forth a novel collaborative filtering method that can solve the cold-start problem and optimize the personal profile as well.With the method built on dynamic Genetic Algorithm,users can share the knowledge about information selecting with each other.Simulation result illustrates the efficiency of the method.更多还原