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Web service quality of service (QOS) prediction method based on mixed collaborative filtering

A hybrid collaborative filtering and prediction method technology, applied in the field of service selection, can solve the problem that the improvement of prediction accuracy is not very obvious

Active Publication Date: 2013-06-05
HANGZHOU DIANZI UNIV
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  • Application Information

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Problems solved by technology

However, in the case of sparse QoS data, the prediction accuracy of this type of method is not very obvious compared with other methods.

Method used

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  • Web service quality of service (QOS) prediction method based on mixed collaborative filtering
  • Web service quality of service (QOS) prediction method based on mixed collaborative filtering
  • Web service quality of service (QOS) prediction method based on mixed collaborative filtering

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Embodiment Construction

[0024] like figure 1 As shown, a kind of Web service QoS prediction method based on hybrid collaborative filtering of the present invention comprises the following steps:

[0025] Step (1) Obtain the QoS history information of the user calling the Web service, and normalize the obtained initial QoS matrix. The specific calculation formula is: ,in, Indicates the QoS of user u invoking service s, represents the average of all QoS records associated with user u, Indicates the standard deviation of the QoS data obtained by user u calling the service;

[0026] Step (2) According to the relevant information of users and services, users are divided into "ordinary users" and "special users", and services are divided into "ordinary services", "special services" and "area-sensitive services" ; Determine the "special user class" according to definition 1, determine the "special service class" according to definition 2, and determine the "area-sensitive service class" according to d...

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Abstract

The invention discloses a Web service quality of service (QOS) prediction method based on mixed collaborative filtering. An existing Web service QOS prediction method is not high in prediction accuracy, and the condition is particularly more severe under the condition of data of QOS are sparse. The method comprises the steps of according to relevant information of users and services, firstly, classifying the users and the services, then, according to various classifications which target users and target services belong to, calculating QOS predication values through various prediction methods, and during a prediction value calculation process, calculating similarity between the users and the services through an improved Euclidean distance method. Compared with a traditional method, the Web service QOS prediction method has higher prediction accuracy of the Web service QOS. Particularly under the condition that the data of the historic QOS are sparse, the prediction accuracy is remarkably improved when the method is compared with the prior art.

Description

technical field [0001] The invention belongs to the field of service selection, and in particular relates to a method for predicting Web service QoS based on hybrid collaborative filtering. Background technique [0002] At present, using Web service composition technology to effectively organize various services in the Internet and develop enterprise-level applications that meet both user functional requirements and Quality of Service (QoS for short) requirements has become an important aspect of software development in the Internet environment. important way. Among them, service selection is a key link in the process of service composition. Because there are a large number of Web services with the same or similar functions and behaviors but different QoS, their QoS attributes must be considered when making service selection. [0003] So far, researchers at home and abroad have proposed many QoS-based service selection methods, most of which are aimed at the situation wher...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L12/26
Inventor 俞东进吴萌萌殷昱煜李万清穆海伦
Owner HANGZHOU DIANZI UNIV