Personalized quality centric service recommendation

Yiwen Zhang, Xiaofei Ai, Qiang He*, Xuyun Zhang, Wanchun Dou, Feifei Chen, Liang Chen, Yun Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)


The broad application of service-oriented architecture (SOA) has fueled the rapid growth of web and cloud services and service-based systems (SBSs). Tremendous web and cloud services have been deployed all over the world. Finding the right services becomes difficult and critical. Thus, service recommendation has become of paramount research and practical importance. Existing web service recommendation approaches employ utility functions or skyline techniques. However, those approaches have not addressed a critical and fundamental problem: how to recommend services according to a system engineer’s quality constraints, e.g., response time, failure rate, etc. To address this issue, we first propose two basic personalized quality centric approaches for service recommendation, which employ the k-nearest neighbors and the dynamic skyline techniques respectively. To overcome the respective limitations of the two basic approaches, we propose two hybrid approaches, namely KNN-DSL and DSL-KNN. Extensive experiments are conducted on a real-world dataset to demonstrate the effectiveness and efficiency of our approaches.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication15th International Conference, ICSOC 2017, Proceedings
EditorsMichael Maximilien, Antonio Vallecillo, Jianmin Wang, Marc Oriol
PublisherSpringer, Springer Nature
Number of pages17
ISBN (Electronic)9783319690353
ISBN (Print)9783319690346
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event15th International Conference on Service-Oriented Computing, ICSOC 2017 - Malaga, Spain
Duration: 13 Nov 201716 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10601 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Service-Oriented Computing, ICSOC 2017


  • Dynamic skyline
  • KNN
  • QoS
  • Service recommendation

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