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Title:
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FINDING TREND LEADERS FROM MARKETING TRANSACTION DATA |
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Author(s):
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Masakazu Takahashi , Kazuhiko Tsuda , Takao Terano |
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ISBN:
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978-972-8924-89-8 |
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Editors:
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Sandeep Krishnamurthy |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Recommendation Systems, Collaborative Filtering System, Customer Preferences, Data Analyses |
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Type:
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Full Paper |
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First Page:
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45 |
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Last Page:
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52 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents a new recommendation method in marketing retails from the transaction data, which may contain
frequent customers consumption activities. Contrary to conventional popular engines, which generates recommendation
the results from the information by major customers such as among such as e-Bay does, we have formulated indices of
trend leaders with the criteria for the purchased date and the number of sales in order to get the good-to-sale items, which
will increase the number of the sales in the future. We have confirmed that it is possible to make appropriate
recommendations to the other customers from the transitions of preferences of trend leaders in the following senses: 1)
the effect of the recommendation with the trend leaders preferences, 2) the extraction of good-to-sale marketing items
from the frequent customers transactions, and 3) the early purchase effects on the short best-before and the long bestbefore
date items. |
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