A considerate application prediction system with artificial neural network

Daichi Hasumi, Eiji Kamioka

研究成果: Conference article査読


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.

ジャーナルProcedia Computer Science
出版ステータスPublished - 2014
イベントInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014 - Gdynia, Poland
継続期間: 2014 9月 152014 9月 17

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)


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