An Answer Recommendation Algorithm for Medical Community Question Answering Systems

被引：0
|
作者：
Wang, Jing [1 ,2 ]
Man, Chuntao [1 ]
Zhao, Yifei [2 ]
Wang, Feiyue [2 ]
机构：
[1] Harbin Univ Sci & Technol, Coll Automat, Harbin, Heilongjiang, Peoples R China
[2] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
来源：
PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI) | 2016年
关键词：
medical community question answering systems; similar cases retrieval; answer quality estimation; data mining;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Online medical community question answering (cQA) systems are playing important roles as a supplement of the traditional medical service systems. The answer recommendation service provides guidance to diagnose diseases and brings convenience and valuable reference to users. In this paper, we propose a method to recommend answer for particular questions on medical cQA system. There are three steps for the answer recommendation system, including similar cases retrieval, answers quality estimation and answer recommendation. The proposed algorithm is tested on a dataset collected from online medical community question answering system. The results show a good performance in answer recommendation.
引用
收藏
页码：139 / 144
页数：6
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