Abstract
Internet has changed consumers decision-making process in several ways. Consumers have the possibility to search for more and better information about products and services. Moreover, consumers are likely to influence other peers; even they do not know them. The aim of this paper is to build a new mining approach which is able to filter customer's feed-back automatically using text summarization. We define a new model, based on two consensus criteria. On the one hand a consensus based on a proximity measure, and on the other hand a consensus based on consumers preferences
Original language | English |
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Publication status | Published - 13 Jul 2014 |
Event | 20th Conference of the International Federation of Operational Research Societies - Duration: 13 Jul 2014 → 18 Jul 2014 |
Conference
Conference | 20th Conference of the International Federation of Operational Research Societies |
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Period | 13/07/14 → 18/07/14 |