A Recommendation Algorithm Based on Dynamic User Preference and Service Quality

被引：10
|
作者：
Zhang, Yanmei [1 ]
Qian, Ya [1 ]
Wang, Yan [2 ]
机构：
[1] Cent Univ Finance & Econ, Informat Sch, Beijing 100081, Peoples R China
[2] Macquarie Univ, Dept Comp, Sydney, NSW 2109, Australia
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (IEEE ICWS 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
service composition; service recommendation; user preference; LDA; quality of services;
D O I：
10.1109/ICWS.2018.00019
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the field of service computing, user preferences and service quality may change with time, environment and other factors. A recommendation algorithm that considers both the dynamic characteristics of users and the dynamic quality of services (QoS) is proposed in this paper. On the one hand, this algorithm uses a kind of temporal LDA (Latent Dirichlet Allocation) model to mine dynamic user preferences. On the other hand, it considers the dynamic changes of QoS and focuses on the latest QoS. The service recommendation list is then generated for the user based on dynamic user preferences and dynamic QoS. Experimental results on a real world dataset show that the proposed algorithm outperforms some classic algorithms and the state-of-the-art algorithms in terms of accuracy, recall and diversity.
引用
收藏
页码：91 / 98
页数：8
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