期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2020
卷号：11
期号：4
DOI：10.14569/IJACSA.2020.0110446
出版社：Science and Information Society (SAI)
摘要：The decision making process of selecting a service is very complex. Current recommendation systems make a generic recommendation to users regardless of their personal standards. This can result in a misleading recommendation because different users normally have different standards in evaluating services. Some of them might be harsh in their assessment while others are lenient. In this paper, we propose a standard-based approach to assist users in selecting their preferred services. To do so, we develop a judgement model to detect users’ standards then utilize them in a service recommendation process. To study the accuracy of our approach, 65536 service invocation results are collected from 3184 service users. The experimental results show that our proposed approach achieves better prediction accuracy than other approaches.
关键词：Service recommendation; standard detection; user ratings; predication; fuzzy logic; decision support
