Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 430-436.doi: 10.11896/jsjkx.200500024
• Big Data & Data Science • Previous Articles Next Articles
LI Xiao, QU Yang, LI Hui, GUO Shi-kai
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[1] YE D H,XING Z C,KAPRE N.The structure and dynamics of knowledge network in domain-specific Q&A sites:a case study of stack overflow [J].Empirical Software Engineering,2017,22:375-406. [2] LI L,HE D Q,ZHANG C Z.Survey on Social Question and Answer [J].Data Analysis and Knowledge Discovery,2018,2(7):1-12. [3] GUO J W,XU S L,BAO S H,et al.Tapping on the potential of Q&A community by recommending answer providers[C]//ACM Conference on Information and Knowledge Management.2008:921-930. [4] ZHANG Z F,LI Q D.Studies on Community Question Answering-A Survey [J].Computer Science,2010,11(11):19-24. [5] ZHAO Y X,PENG X X,LIU Z Y,et al.Factors that affect asker's pay intention in trilateral payment-based social Q&A platforms:From a benefit and cost perspective [J].Journal of the Association for Information Science and Technology,2019,71(5):516-528. [6] ZHANG K H,LIANG J Y,ZHAO X W,et al.A Collaorative Filtering Recommendation Algorithm Based on Information of Community Experts [J].Journal of Computer Research and Development,2018,55(5):968-976. [7] LIANG Q S,WU Y L,FENG L.User ranking algorithm for microblog search based on MapReduce [J].Journal of Computer Applications,2012,32(11):2989-2993. [8] GUAN T,WANG L,JIN J H,et al.Knowledge contribution behavior in online Q&A communities:An empirical investigation [J].Computers in Human Behavior,2018,81:137-147. [9] NIE L,ZHAO Y,WANG X,et al.Learning to recommend descriptive tags for questions in social forums [J].ACM Transactions on Information Systems,2014,32:5. [10] SHEN H Y,LIU G X,WANG H Y,et al.SocialQ&A:An Online Social Network Based Question and Answer System [J].IEEE Transactions on Big Data,2017,3(1):91-106. [11] FU H Y,OH S.Quality assessment of answers with user-identi?ed criteria and data-driven features in social Q&A [J].Information Processing and Management,2019,56:14-28. [12] LONG P T,ANH N V D,VI N T T,et al.A meaningful model for computing users' importance scores in Q&A systems[C]//Proceedings of the Second Symposium on Information and Communication.2011:120-126. [13] LV L Y,ZHANG Y C,YEUNG C H,et al.Leaders in Social Networks,the Delicious Case [J].Plos One,2011,6(6):e21202. [14] BHANU M,CHANDRA J.Exploiting response patterns for identifying topical experts in Stack Overflow[C]//International Conference on Digital Information Management.2016:139-144. [15] WILLIAMS S.Pearson's correlation coefficient [J].The New Zealand Medical Journal,1996,109(1015):38. |
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