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QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks
المؤلفون المشاركون
Ma, Wenming
Zhang, Qian
Mu, Chunxiao
Zhang, Meng
المصدر
International Journal of Digital Multimedia Broadcasting
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-01
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
هندسة الاتصالات
هندسة كهربائية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
To expand the server capacity and reduce the bandwidth, P2P technologies are widely used in video streaming systems in recent years.
Each client in the P2P streaming network should select a group of neighbors by evaluating the QoS of the other nodes.
Unfortunately, the size of video streaming P2P network is usually very large, and evaluating the QoS of all the other nodes is resource-consuming.
An attractive way is that we can predict the QoS of a node by taking advantage of the past usage experiences of a small number of the other clients who have evaluated this node.
Therefore, collaborative filtering (CF) methods could be used for QoS evaluation to select neighbors.
However, we might use different QoS properties for different video streaming policies.
If a new video steaming policy needs to evaluate a new QoS property, but the historical experiences include very few evaluation data for this QoS property, CF methods would incur severe overfitting issues, and the clients then might get unsatisfied recommendation results.
In this paper, we proposed a novel neural collaborative filtering method based on transfer learning, which can evaluate the QoS with few historical data by evaluating the other different QoS properties with rich historical data.
We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 clients evaluating on the other 5825 clients.
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& Zhang, Qian& Mu, Chunxiao& Zhang, Meng. 2019. QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks. International Journal of Digital Multimedia Broadcasting،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1159227
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ma, Wenming…[et al.]. QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks. International Journal of Digital Multimedia Broadcasting No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1159227
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ma, Wenming& Zhang, Qian& Mu, Chunxiao& Zhang, Meng. QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks. International Journal of Digital Multimedia Broadcasting. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1159227
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1159227
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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