基于Web投票机制的免疫协同过滤推荐技术研究

Research on Rating-based Collaborative Filtering Recommendation Technology Inspired Immune System

针对投票机制的个性化推荐系统,利用人工免疫网络模型的动态适应性、自组织性等特性,通过构建用户的兴趣模型来设计用户投票行为的抗体(抗原)编码及交叉克隆算子,并通过人工免疫网络模型来产生高效的推荐结果。

A novel technology inspiring artificial immune network model was applied to the task of rating-based recommendation technology by collaborative filtering （CF）.The concept of user＇s multiple interests model was introduced, users who have voted represents the set of antigens and antibody, a top-N list is generated as a recommendation to the active user by artificial immune network model.