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.
Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and insufficient consideration of dynamic trust relationship in traditional trust-based Web service recommendation methods, a novel approach for Web service recommendation based on advanced trust relationships is presented. After considering the influence of indirect trust paths, the improved calculation about indirect trust degree is proposed. By quantifying the popularity of service, the method of calculating user preference similarity is investigated. Furthermore, the dynamic adjustment mechanism of trust is designed by differentiating the effect of each service recommendation. Integrating these efforts, a service recommendation mechanism is introduced, in which a new service recommendation algorithm is described. Experimental results show that, compared with existing methods, the proposed approach not only has higher accuracy of service recommendation, but also can resist attacks from malicious users more effectively.
To improve education informatization level in China, this paper focuses on the construction of education informatization infrastructure. After analyzing the status of education informatization infrastructure in education informatization process and the connotation of education informatization infrastructure, this paper discusses how to build education informatization infrastructure from the aspects of construction planning, construction content, supporting resources and application level, and also gives countermeasures.
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