AppNow: Predicting Usages of Mobile Applications on Smart Phones

被引：4
|
作者：
Liao, Zhung-Xun [1 ]
Lei, Po-Ruey [2 ]
Shen, Tsu-Jou [1 ]
Li, Shou-Chung [1 ]
Peng, Wen-Chih [1 ]
机构：
[1] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, Taiwan
[2] Chinese Naval Acad, Dept Elect Engn, Kaohsiung, Taiwan
来源：
2012 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI) | 2012年
关键词：
mobile application; temporal profile; prediction; data mining; MODEL;
D O I：
10.1109/TAAI.2012.18
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Due to the proliferation of mobile applications (abbreviated as Apps) on smart phones, users can install many Apps to facilitate their life. Usually, users browse their Apps by swiping touch screen on smart phones, and are likely to spend much time on browsing Apps. In this paper, we design an AppNow widget that is able to predict users' Apps usage. Therefore, users could simply execute Apps from the widget. The main theme of this paper is to construct the temporal profiles which identify the relation between Apps and their usage times. In light of the temporal profiles of Apps, the AppNow widget predicts a list of Apps which are most likely to be used at the current time. In our experiments, we collected real usage traces to show that the accuracy of AppNow could reach 86% for identifying temporal profiles and 90% for predicting App usage.
引用
收藏
页码：300 / 303
页数：4
相关论文
共 50 条
  • [31] Impact of Individual Differences on the Use of Mobile Phones and Applications
    Unal, Perin
    Temizel, Tugba Taskaya
    Eren, P. Erhan
    [J]. MOBILE WEB AND INTELLIGENT INFORMATION SYSTEMS, (MOBIWIS 2016), 2016, 9847 : 379 - 392
  • [32] Mobile phones and applications in the management of patients with arterial hypertension
    Michalakeas, Christos
    Katsi, Vasiliki
    Soulaidopoulos, Stergios
    Dilaveris, Polychronis
    Vrachatis, Dimitrios
    Lekakis, Ioannis
    Vlachopoulos, Charalambos
    Tsioufis, Konstantinos
    Tousoulis, Dimitrios
    [J]. AMERICAN JOURNAL OF CARDIOVASCULAR DISEASE, 2020, 10 (04): : 419 - 431
  • [33] Feasibility study on Gait monitoring and assessment using smart mobile phones
    Yang, Mingjing
    Chan, Herman
    Zheng, Huiru
    Wang, Haiying
    McClean, Sally
    Harris, Nigel
    [J]. INTERNATIONAL JOURNAL OF INTEGRATED CARE, 2011, 11
  • [34] Predicting the next decade of mobile communication studies research: More mobile media, fewer mobile phones
    Frith, Jordan
    [J]. MOBILE MEDIA & COMMUNICATION, 2023, 11 (01) : 8 - 12
  • [35] Learning with Mobile Technologies, Handheld Devices and Smart Phones: Innovative Methods
    Parry, Frank
    [J]. ONLINE INFORMATION REVIEW, 2013, 37 (03) : 482 - 483
  • [36] Security Enhancement of Smart Phones for Enterprises by Applying Mobile VPN Technologies
    Hong, Young-Ran
    Kim, Dongsoo
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2011, PT III, 2011, 6784 : 506 - 517
  • [37] Need to peer-review medical applications for smart phones
    Visser, Benjamin J.
    Buijink, Arthur W. G.
    [J]. JOURNAL OF TELEMEDICINE AND TELECARE, 2012, 18 (02) : 124 - 124
  • [38] u-Photo Mobile: Interacting with Smart Environments via Clickable Photos on Mobile Phones
    Aoki, Soko
    Ito, Masaki
    Yura, Junichi
    Nakazawa, Jin
    Takashio, Kazunori
    Tokuda, Hideyuki
    [J]. INTELLIGENT ENVIRONMENTS 2009, 2009, 2 : 327 - +
  • [39] Characterizing the Materials Composition and Recovery Potential from Waste Mobile Phones: A Comparative Evaluation of Cellular and Smart Phones
    Singh, Narendra
    Duan, Huabo
    Yin, Fengfu
    Song, Qingbin
    Li, Jinhui
    [J]. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2018, 6 (10): : 13016 - 13024
  • [40] Mobile Phones
    Craig Duncan
    [J]. 英语世界, 2017, 36 (10) : 127 - 128
12345