Question Popularity Analysis and Prediction in Community Question Answering Services

Author:

Liu Ting,Zhang Wei-Nan,Cao Liujuan,Zhang Yu

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference28 articles.

1. Chen BC, Dasgupta A, Wang X, Yang J (2012) Vote calibration in community question-answering systems. In: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. New York, NY, USA: ACM, SIGIR ‘12, 781–790. doi:10.1145/2348283.2348388. Available: http://doi.acm.org/10.1145/2348283.2348388.

2. Wang XJ, Tu X, Feng D, Zhang L (2009) Ranking community answers by modeling question-answer relationships via analogical reasoning. In: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. New York, NY, USA: ACM, SIGIR ‘09, 179–186. doi:10.1145/1571941.1571974. Available: http://doi.acm.org/10.1145/1571941.1571974.

3. Bian J, Liu Y, Agichtein E, Zha H (2008) Finding the right facts in the crowd: factoid question answering over social media. In: Proceedings of the 17th international conference on World Wide Web. New York, NY, USA: ACM, WWW ‘08, 467–476. doi:10.1145/1367497.1367561. Available: http://doi.acm.org/10.1145/1367497.1367561.

4. Agichtein E, Castillo C, Donato D, Gionis A, Mishne G (2008) Finding high-quality content in social media. In: Proceedings of the 2008 International Conference on Web Search and Data Mining. New York, NY, USA: ACM, WSDM ‘08, 183–194. doi:10.1145/1341531.1341557. Available: http://doi.acm.org/10.1145/1341531.1341557.

5. Jeon J, Croft WB, Lee JH, Park S (2006) A framework to predict the quality of answers with non-textual features. In: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. New York, NY, USA: ACM, SIGIR ‘06, 228–235. doi:10.1145/1148170.1148212. Available: http://doi.acm.org/10.1145/1148170.1148212.

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3