Comparison of two Algorithms for Routing Questions and Answers, Applied to Group of Students Software Engineering

Carlos E. Serquen-Llallire, Hugo D. Calderon-Vilca, Flor C. Cardenas-Marino

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

© 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.
Original languageAmerican English
DOIs
StatePublished - 23 Jan 2019
Event2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018 -
Duration: 23 Jan 2019 → …

Conference

Conference2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
Period23/01/19 → …

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    Serquen-Llallire, C. E., Calderon-Vilca, H. D., & Cardenas-Marino, F. C. (2019). Comparison of two Algorithms for Routing Questions and Answers, Applied to Group of Students Software Engineering. Paper presented at 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018, . https://doi.org/10.1109/LA-CCI.2018.8625262