摘要
用户兴趣模型是个性化服务系统的一个核心组成部分。为进一步提高模型准确性,提出一种搜集用户多种交互行为,结合隐式反馈技术构建用户兴趣模型的方法。该方法引入时间衰减度和显式反馈技术,使之能对用户兴趣模型进行自适应更新,对实现个性化的信息检索与过滤系统具有较高的参考价值。
The user interest modeling is a core component of the personalized service system. To improve the accuracy of the user interest modeling, this paper presents an algorithm by collecting a variety of users＇ interactions, with the implicit feedback techniques. And to conduct an adaptive updating of the user interest modeling, this algorithm considers the use of the time-attenuation parameter and the explicit feedback techniques, which produces more values for personalized information retrieval and filtering system.
出处
《金陵科技学院学报》
2011年第4期35-39,共5页
Journal of Jinling Institute of Technology
关键词
个性化服务
用户兴趣模型
关联反馈
隐式反馈
personalized service
user interest
relevance feedback
implicit feedback
