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Future Internet 2017, 9(4), 63; doi:10.3390/fi9040063

Collaborative Web Service Discovery and Recommendation Based on Social Link

School of Computer, Hubei University of Education, No. 129, Gaoxin Second Road, Wuhan 430205, China
School of Information Engineering, Hubei University of Economics, No. 8, Yangqiaohu Ave., Jiangxia Dist., Wuhan 430205, China
Author to whom correspondence should be addressed.
Received: 13 September 2017 / Revised: 5 October 2017 / Accepted: 9 October 2017 / Published: 13 October 2017
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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. View Full-Text
Keywords: web service; discovery; recommendation; social link web service; discovery; recommendation; social link

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Duan, L.; Tian, H. Collaborative Web Service Discovery and Recommendation Based on Social Link. Future Internet 2017, 9, 63.

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