General Collaborative Filtering for Web Service QoS Prediction
المؤلفون المشاركون
Ma, Wenming
Shan, Rongjie
Qi, Mingming
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-03
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208071
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر