A considerate application prediction system with artificial neural network

Daichi Hasumi, Eiji Kamioka

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)1547-1556
Number of pages10
JournalProcedia Computer Science
Issue numberC
Publication statusPublished - 2014
EventInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014 - Gdynia, Poland
Duration: 2014 Sept 152014 Sept 17


  • Application Log
  • Artificial Neural Network
  • Machine Learning
  • Recommendation System

ASJC Scopus subject areas

  • Computer Science(all)


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