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Multidimensional scaling based knowledge provision for new questions in community Question Answering systems

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Community-based Question Answering (CQA) sites have become popular since they allow users to get answers to complex, detailed and personal question from other users directly. However, since answering a question depends on the ability and willingness of other users to address the askers' real needs, a significant fraction of the questions remain unanswered. To decrease the unanswered question rate and then improve the user experience, in this paper, a multidimensional scaling (MDS) based data reorganization method is proposed. By using this method, the CQA system can predict the askers' intention and accordingly provide related previous question/answer pairs to help them find useful information. The method has been evaluated on an off-line dataset extracted from Baidu Zhidao and the result has shown its promising potential in knowledge management in CQA systems.

源语言英语
主期刊名2016 International Joint Conference on Neural Networks, IJCNN 2016
出版商Institute of Electrical and Electronics Engineers Inc.
115-122
页数8
ISBN(电子版)9781509006199
DOI
出版状态已出版 - 31 10月 2016
活动2016 International Joint Conference on Neural Networks, IJCNN 2016 - Vancouver, 加拿大
期限: 24 7月 201629 7月 2016

出版系列

姓名Proceedings of the International Joint Conference on Neural Networks
2016-October

会议

会议2016 International Joint Conference on Neural Networks, IJCNN 2016
国家/地区加拿大
Vancouver
时期24/07/1629/07/16

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