Resumen
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
| Idioma original | Inglés |
|---|---|
| Estado | Publicada - 13 jul 2014 |
| Evento | 20th Conference of the International Federation of Operational Research Societies - Duración: 13 jul 2014 → 18 jul 2014 |
Conferencia
| Conferencia | 20th Conference of the International Federation of Operational Research Societies |
|---|---|
| Período | 13/07/14 → 18/07/14 |