© 2018 IEEE. Community Question Answering (CQA) have become a popular web services where users respond and can ask questions. In this search we present the comparison of two algorithms to verify which of the two is better suited to the problem of routing questions. We began by taking the characteristics of the questions, then presented the Perceptron Back propagation learning and the Self Organizing Map (SOM) network to calculate the set of people most apt to answer the question, the adaptation of both algorithms was compared, concluding that the SOM network adapts better, being 14.81% more accurate than Perceptron in this type of problems.
|Idioma original||Inglés estadounidense|
|Estado||Publicada - 23 ene. 2019|
|Evento||2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018 - |
Duración: 23 ene. 2019 → …
|Conferencia||2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018|
|Período||23/01/19 → …|