Web service recommendation method based on user preference feature modeling

Abstract

The invention discloses a Web service recommendation method based on user preference feature modeling. The Web service recommendation method based on user preference feature modeling comprises the steps that (1) Web services are collected from a Web service portal, the service roles, targets, processes and marks of the collected Web services are labeled and registered to a service repository in a Web service platform, and a Web service description document is built; (2) the historical service call information of each user is collected from the Web service platform, a historical call information document about the service roles, targets, processes and marks of the users is generated, and a user preference document is built; (3) by calculating the multi-dimensional preference similarity among the users and carrying out weighted fusion, the former N preference similarity neighbors of the users are generated, and N>=1; (4) the Web services most frequently called by the former N preference similarity neighbor users are sequenced, and a final service recommendation list is generated. The Web service recommendation method is suitable for the Web services described by various languages, such as services described by WSDL, services described by OWL-S, and the web services described through the method like the text language, and has universality.

Description

technical field [0001] The invention belongs to the technical field of service computing and the field of electronic commerce, and in particular relates to a Web service recommendation method based on user preference feature modeling. Background technique [0002] The development of the Internet has promoted the organic integration of network and software, and the emergence of cloud computing technology has further accelerated the development and application of service-oriented software. Service-oriented software publishes the functions of software components in the form of Web services to promote software reuse among heterogeneous platforms, or delivers software to users in the form of Web services or SaaS (Software as a Service) applications. Service-Oriented Architecture (Service-Oriented Architecture, SOA) is the basic framework for the development and integration of distributed and heterogeneous information systems, and Web services are one of the key supporting technol...

AI Technical Summary

Problems solved by technology

However, such recommendation methods are usually recommended for a single type of service, such as services described in Web Services Description Language (Web Services Description Language, WSDL) and Web services described in Ontology Web Language for Services (OWL-S). Or a Web API (Application Programming Interface) described in natural language, so it lacks the versatility of service recommendation applications

[0006] 2) Use information such as service QoS (Quality of Service) to recommend services. QoS attributes include response time, reliability, maintainability and other aspects. However, due to unstable QoS information of web services, it is usually necessary to Therefore, it is very difficult to obtain the user's QoS information

In the process of using social network information to recommend, social information is often incomplete, resulting in single recommendation information

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