A considerate application prediction system with artificial neural network

被引：0
|
作者：
Hasumi, Daichi [1 ]
Kamioka, Eiji [1 ]
机构：
[1] Shibaura Inst Technol, Koto Ku, Tokyo 1358548, Japan
来源：
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 | 2014年 / 35卷
关键词：
Recommendation System; Machine Learning; Application Log; Artificial Neural Network; RECOMMENDATION;
D O I：
10.1016/j.procs.2014.08.238
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Personal computer is one of the indispensable tools at work and in everyday life. Some of application programs in the computer are habitually used or launched in a particular time. Even though their invocations can be predicted in advance, they are executed manually in each time, hence, this results in a deterioration of the usability in computer operation. In this paper, a considerable application prediction system with Artificial Neural Network, which recommends a useful application for the user at the time, will be proposed. It refers to an application ontology and uses an application log obtained from the user's personal computer. Moreover, the effectiveness of the proposed system will be discussed showing the prediction accuracy of about 90% in recommending useful applications when the user utilizes the computer in daily life. (C) 2014 The Authors. Published by Elsevier B.V.
引用
收藏
页码：1547 / 1556
页数：10
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