Prediction of Mobile Phone Menu Selection with Markov Chains

Markov Chain을 이용한 핸드폰 메뉴 선택 예측

  • Lee, Suk Won (Division of Information Management Engineering, Korea University) ;
  • Myung, Rohae (Division of Information Management Engineering, Korea University)
  • 이석원 (고려대학교 정보경영공학부) ;
  • 명노해 (고려대학교 정보경영공학부)
  • Published : 2007.12.31

Abstract

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

Acknowledgement

Supported by : 한국과학재단

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