A My Page Service Realizing Method by Using Market Expectation Engine

  • Masayuki Kessoku
  • Masakazu Takahashi
  • Kazuhiko Tsuda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3684)


This paper proposes a method to realize My Page Service using market expectation engine. There are two problems on expecting market trend using My Page; (1) difficulty of analyzing huge database that manages the enormous number of customer data and the extremely broad areas that the customers might be interested in, and (2) difficulty of grasping market trend using customer data that is stored in database. We address problem (1) with three-dimensional vectors that consists of customer, preference category and time axes. One of the problems of three-dimensional vectors is its huge volume of information. Our method addresses this problem by recording the positions and the values of the points only where the information has changed as time passes. And we address problem (2) with clustering customer preference data. Furthermore, we have found a few trend leaders in the groups. Using trend leaders data, we can expect market trend.


Preference Transition Customer Preference Internet Service Provider Preference Vector Market Trend 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Masayuki Kessoku
    • 1
  • Masakazu Takahashi
    • 2
  • Kazuhiko Tsuda
    • 3
  1. 1.Information Science and Intelligent SystemsThe University of TokushimaTokushima-CityJapan
  2. 2.Shimane UniversityMatsue, ShimaneJapan
  3. 3.Graduate School of Systems ManagementsThe University of TsukubaBunkyo-ku, TokyoJapan

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