Fab: content-based, collaborative recommendation
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This paper proposes a method to construct My-page, which is an effective one-to-one-marketing method for internet service providers. In conventional methods, customer preference and market information are managed with two-dimensional vectors of customer and preference category axes. In this proposed method, we add time axis to make it three-dimensional vectors in order to manage the preference transitions and the market trends. One of the problems of three-dimensional vectors is its huge volume of information. In order to solve this problem, the three-dimensional vector was compressed using the MPEG algorithm. As a result, the amount of data could be compressed to less than 5%, and the problem was solved. Furthermore, we have found a few trend leaders in the groups, which confirm that there is a possibility to make appropriate recommendations to the other group member based on the transitions of the trend leaders.