Leveraging Track Relationships for Web Service Recommendation

被引：0
|
作者：
Slaimi, Fatma [1 ]
Sellami, Sana [1 ]
Boucelma, Omar [1 ]
Ben Hassine, Ahlem [2 ]
机构：
[1] Univ Toulon & Var, Aix Marseille Univ, CNRS, ENSAM,LSIS UMR 7296, F-13397 Marseille, France
[2] Univ Manouba, Natl Sch Comp Sci ENSI, Manouba, Tunisia
来源：
2016 IEEE 13TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) | 2016年
关键词：
Service Recommendation; Web service; multi-Graph; Association rules; track relationship; SYSTEM;
D O I：
10.1109/ICEBE.2016.40
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Existing Web services recommendation approaches are based on usage statistics or QoS properties, leaving aside the evolution of the services' ecosystem. These approaches do not always capture new or more recent users' preferences resulting in recommendations with possibly obsolete or less relevant services. In this paper, we describe a novel Web services recommendation approach where the services' ecosystem is represented as a heterogeneous multi-graph, and edges may have different semantics. The recommendation process relies on data mining techniques to suggest services "of interest" to a user.
引用
收藏
页码：220 / 225
页数：6
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