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.
Highlights
Web service can realize interoperable interactions between different machines via standard interfaces and communication protocols without the aid of additional third-party software or hardware
In this paper, we propose a new method that differs from existing approaches in that: (1) we pay more attention to the potential social relations between users and services in the whole process of Web service discovery; (2) we redefine and formalize the social link through mining and defining typical link factors; and (3) we present a collaborative mechanism with high flexibility and satisfied performance
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Summary
Web service can realize interoperable interactions between different machines via standard interfaces and communication protocols without the aid of additional third-party software or hardware. The main reasons are: most existing discovery methods only consider services as isolated functional islands with no links to related services, and they usually deal with each user and each request in isolation instead of mining and utilizing the latent social relationship among them [2] To address these problems, in this paper, we propose a new method that differs from existing approaches in that: (1) we pay more attention to the potential social relations between users and services in the whole process of Web service discovery; (2) we redefine and formalize the social link through mining and defining typical link factors; and (3) we present a collaborative mechanism with high flexibility and satisfied performance.
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