摘要
针对电子商务参与者兴趣变化异常频繁的特点,提出了基于线性衰减的用户兴趣模型。根据初始注册信息和浏览行为构建了链式用户偏好表,所有用户的偏好链表组成用户兴趣模型。兴趣模型中的用户偏好值在固定时间间隔t进行线性衰减直至变为0而被淘汰。若在衰减过程中产生了用户对某项目新的评分,该项目兴趣模型中的偏好值将被更新为此评分。实验证明,基于线性衰减的用户兴趣建模方法是有效的。
For the extremely frequent changes in e-commerce users＇ interest, a linear-attenuation based user profile is proposed. The registered information and browsing behaviors are used to set up the initial chain user preference list. The User Profile is made up of all users＇ chain preference list. User ratings decrease at a fixed time interval until the rating has been eliminated to zero. User preference value is probably updated by a new rating in the course of attenuation. The efficiency of user profile is proved by the experiment.
出处
《计算机系统应用》
2010年第6期140-143,共4页
Computer Systems & Applications
基金
湖南省科技计划基金(2006JT1040)
关键词
线性衰减
用户偏好
兴趣模型
linear-attenuation
user preference
user profile
