A Survey on Web Service QoS Prediction Methods

Nowadays, there are many Web services with similar functionality on the Internet. Users consider Quality of Service (QoS) of the services to select the best service from among them. The prediction of QoS values of the Web services and recommendations of the best service based on these values to the users is one of the major challenges in the web service area. Major studies in this field use collaboration filtering based methods for prediction. The paper introduced prediction methods and divided them into three main categories: memory-based methods, model-based methods, and Collaborative Filtering (CF) methods combined with other methods. In each category, some of the most famous studies were introduced, and then the problems and benefits of each category were reviewed. Finally, we have a discussion about these methods and propose suggestions for future works.

Automated summary

This article discusses methods for predicting QoS values of web services and recommending the best services based on these values. The methods are categorized into memory-based, model-based, and collaborative filtering methods combined with other techniques. The article introduces famous studies in each category, reviews the problems and benefits of each category, and proposes suggestions for future work.