Name
Title | ||
|---|---|---|
PQRS: Prediction of Applications Based on Cellular Network Traffic with Consideration of SNS Notification. |
Abstract | ||
|---|---|---|
Nowadays many people rely on smartphones in their daily lives for chatting in SNS, voice communications, searching for shopping information, and watching video contents, etc.. We tried to predict the used application on a smartphone based on Call Detail Records (CDRs) in our previous work[2]. However, we have found that classification of small messages into SNS messages or simple Web browsing is difficult. In this work, we focus on enhancing the possibility of predicting the SNS messages by extracting the notification to receivers of SNS messaging before the receivers actually access to the message body. We have conducted a small experiment to distinguish the SNS notifications from short background messages in Android. The result has shown that F_1 score is 0.87
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3267305.3267572 | UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Singapore
Singapore
October, 2018 |
Keywords | Field | DocType |
Call Detail Record (CDR), cellular network planning, kernel method, support vector machine | Android (operating system),Computer science,Support vector machine,Web navigation,Cellular network,Kernel method,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-5966-5 | 0 | 0.34 |
References | Authors | |
2 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michiki Hara | 1 | 0 | 0.68 |
| Masaru Onodera | 2 | 0 | 2.03 |
| Joe Ohara | 3 | 0 | 2.03 |
| Takumi Kondo | 4 | 0 | 1.69 |
| Kizito Nkurikiyeyezu | 5 | 5 | 3.88 |
| Guillaume Lopez | 6 | 14 | 10.35 |
| Hiroki Ishizuka | 7 | 15 | 7.25 |
| Yoshito Tobe | 8 | 316 | 60.61 |