【摘要】 提出了基于模糊兴趣模型与多Agent的个性化推荐系统框架,通过引入用户模糊兴趣模型,使以Agent为基础的推荐系统无法通过隐式收集用户对商品属性评价的问题得到解决,并且在客户端收集并挖掘用户的私有信息,然后从服务器中获取用户感兴趣的信息,最后生成并更新UserProfile。更多还原

【Abstract】 The paper proposes a personalized recommendation system framework based on Fuzzy Interest Model and Multi-Agent to solve the recommentdation system’s inability to collect information from the customers’ evaluation on the commodity’s properties implicitly.The recommendation system creates and updates the UserProfile in accordance with customers’ private information collected on the client and combined with information in which customers are interested in.更多还原