@inproceedings{bf5a0ffa7ca34a6ebb7ccf3121131942,
title = "A predictive framework for retrieving the best answer",
abstract = "In a question answering (QA) system, each user interaction with the system is different and since there are a variety of arguably correct answers to complex questions, identifying factors for improving the quality of the retrieved answer is difficult. This research aims to develop a framework that identifies predictive variables for the best quality answer in a QA system. It was found that accuracy, completeness and relevance were predictors of best answer. We believe that these findings can serve to guide future developments in the answer extraction modules in the QA systems.",
keywords = "Answer quality, Prediction model",
author = "Blooma, {Mohan John} and Chua, {Alton Yeow Kuan} and Goh, {Dion Hoe Lian}",
year = "2008",
month = dec,
day = "1",
doi = "10.1145/1363686.1363944",
language = "English",
isbn = "9781595937537",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery (ACM)",
pages = "1107--1111",
editor = "Wainwright, {Roger L.} and Haddad, {Hisham M.}",
booktitle = "Proceedings of the 23rd Annual ACM Symposium on Applied Computing, SAC'08",
address = "United States",
note = "23rd Annual ACM Symposium on Applied Computing, SAC'08 ; Conference date: 16-03-2008 Through 20-03-2008",
}