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Collaborative Web Service Discovery and Recommendation Based on Social Link

Author

Listed:
  • Lijun Duan

    (School of Computer, Hubei University of Education, No. 129, Gaoxin Second Road, Wuhan 430205, China)

  • Hao Tian

    (School of Information Engineering, Hubei University of Economics, No. 8, Yangqiaohu Ave., Jiangxia Dist., Wuhan 430205, China)

Abstract

With the increasing application of web services in varying fields, the demand of effective Web service discovery approaches is becoming unprecedentedly strong. To improve the performance of service discovery, this paper proposes a collaborative Web service discovery and recommendation mechanism based on social link by extracting the latent relationships behind users and services. The presented approach can generate a set of candidate services through a complementary manner, in which service discovery and service recommendation could collaborate according to the formalized social link. The experimental results reveal that the proposed mechanism can effectively improve the efficiency and precision of Web service discovery.

Suggested Citation

  • Lijun Duan & Hao Tian, 2017. "Collaborative Web Service Discovery and Recommendation Based on Social Link," Future Internet, MDPI, vol. 9(4), pages 1-12, October.
    • Handle: RePEc:gam:jftint:v:9:y:2017:i:4:p:63-:d:114920
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