General Collaborative Filtering for Web Service QoS Prediction
Joint Authors
Ma, Wenming
Shan, Rongjie
Qi, Mingming
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-03
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
To avoid the expensive and time-consuming evaluation, collaborative filtering (CF) methods have been widely studied for web service QoS prediction in recent years.
Among the various CF techniques, matrix factorization is the most popular one.
Much effort has been devoted to improving matrix factorization collaborative filtering.
The key idea of matrix factorization is that it assumes the rating matrix is low rank and projects users and services into a shared low-dimensional latent space, making a prediction by using the dot product of a user latent vector and a service latent vector.
Unfortunately, unlike the recommender systems, QoS usually takes continuous values with very wide range, and the low rank assumption might incur high bias.
Furthermore, when the QoS matrix is extremely sparse, the low rank assumption also incurs high variance.
To reduce the bias, we must use more complex assumptions.
To reduce the variance, we can adopt complex regularization techniques.
In this paper, we proposed a neural network based framework, named GCF (general collaborative filtering), with the dropout regularization, to model the user-service interactions.
We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 users on 5825 web services.
The comprehensive experimental studies show that our approach offers higher prediction accuracy than the traditional collaborative filtering approaches.
American Psychological Association (APA)
Ma, Wenming& Shan, Rongjie& Qi, Mingming. 2018. General Collaborative Filtering for Web Service QoS Prediction. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1208071
Modern Language Association (MLA)
Ma, Wenming…[et al.]. General Collaborative Filtering for Web Service QoS Prediction. Mathematical Problems in Engineering No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1208071
American Medical Association (AMA)
Ma, Wenming& Shan, Rongjie& Qi, Mingming. General Collaborative Filtering for Web Service QoS Prediction. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1208071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208071