A Multigraph Approach for Web Services Recommendation

被引：2

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：

ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2016 CONFERENCES | 2016年 / 10033卷

关键词：

Web services; Recommendation; Graph database; Neo4j; TRUST; SYSTEM; MODEL;

D O I：

10.1007/978-3-319-48472-3_16

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we describe a Web services recommendation approach where the services' ecosystem is represented as a heterogeneous multigraph, and edges may have different semantics. The recommendation process relies on clustering techniques to suggest services "of interest" to a user. Our approach has been implemented as a tool called WesReG (Web services Recommendation with Graphs) on top of Neo4j and its cypher query language. We present the system implementation details and present the results of experiments on a collection of real Web services.

引用

页码：282 / 299

页数：18

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