Finding relations between seller's message content and transaction refund rate using collaborative filtering and text classification for Bukalapak.Com

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Finding relations between seller's message content and transaction refund rate using collaborative filtering and text classification for Bukalapak.Com

and based on the classification results a data set of sellers and their messages are built. This dat - Personal Name;

Bukalapak

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Series Title: -
Call Number: 322
Publisher: : Swiss German University., 2015
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
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Subject(s): and thernpattern is used to build a prototype for
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Statement of Responsibility: expects to reduce the transaction refund. This applied research analyzed the message contents of sellers and found a pattern in the contents with correlation with the sellers' transaction refund. Naiv

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