[1] 范秀凤,刘禺卿,王琏嘉.基于学科服务的高校研究生专业信息素养教育[J].图书馆理论与实践,2010(11):84-87.
[2] 张群,彭奇志.研究生信息素质教育与高校图书馆学科化知识服务[J].图书馆工作与研究,2011(2):53-56.
[3] 李广建.专题:提供个性化与人性化的信息检索服务(序)[J]. 图书情报工作,2012,56(9):10.
[4] 边鹏,苏玉召. 基于检索日志的检索词推荐研究[J].图书情报工作,2012,56(9):31-36.
[5] 古可,李广建. 一种个性化信息检索服务界面的设计与实现[J].图书情报工作,2012,56(9):37-41.
[6] 李芳,杨林.基于用户的检索服务研究进展[J].情报科学,2012(9):1424-1430.
[7] 王伟军,宋梅青.一种面向用户偏好定向挖掘的协同过滤个性化推荐算法[J].现代图书情报技术,2014(6):25-32.
[8] 陈祖琴,葛继科,刘喜文.结合资源语义和用户访问路径分析的个性化推荐模型[J].情报理论与实践,2014(9):129-132.
[9] 唐晓玲,何天云.基于主题偏好的个性化检索模型研究[J].情报杂志,2011(4):133-136.
[10] Wei Xing,Croft W B.LDA-based document models for Ad-hoc retrieval[C]//Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York:ACM,2006:178-185.
[11] Ma Dashun,Rao Lan,Wang Ting.An empirical study of SLDA for information retrieval[C]//Proceeding of the 7th Asia Information Retrieval Societies Conference,Berlin : Springer, 2011: 84-92.
[12] Lukins S K,Kraft N A,Etzkorn L H.Source code retrieval for bug localization using Latent Dirichlet Allocation[C]//Proceedings of the 15th Working Conference on Reverse Engineering.Los Angeles:IEEE,2008,155-164.
[13] Park L A F,Ramamohanarao K.The sensitivity of Latent Dirichlet Allocation for information retrieval[C] //Proceedings of the Joint European Conference on Machine Learning (ECML)/European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD).Berlin:Sprmger,2009:176-188.
[14] 房小可,纪春光.基于标签主题和概念空间的个性化推荐研究[J].情报理论与实践,2015(5):105-111.
[15] 唐晓波,房小可.基于文本聚类与LDA相融合的微博主题检索模型研究[J].情报理论与实践,2013(8):85-90.
[16] 罗琳,陈远.知识挖掘与数字图书馆个性化服务[J].中国图书馆学报,2004(3):71-73.
[17] Coulter N,Monarch I,Konda S.Software engineering as seen through its research literature: A study in co-word analysis[J].Journal of the American Society for Information Science,1998,49(13):1206-1223.
[18] Tian Yangge,Wen Cheng,Hong Song.Global scientific production on GIS research by bibliometric analysis from 1997 to 2006[J].Journal of Informetrics,2008(2):65-74.
[19] 刘则渊,尹丽春.国际科学学主题共词网络的可视化研究[J].情报学报,2006,25(5):634-640.
[20] 王晓光.科学知识网络的形成与演化(I):共词网络方法的提出[J].情报学报,2009,28(4):599-605.
[21] Small H G,Griffith B C.The structure of scientific literatures I: Identifying and graphing specialties [J].Science Studies,1974(4):17-40.
[22] Small H,Sweeney E.Clustering the science citation index using co-citation. 1. A comparison of methods[J].Scientometrics,1985,7(3-6):391-409.
[23] Blei D M,Ng A Y,Jordan M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research,2003(3):993-1022.
[24] 茆诗松,王静龙,濮晓龙.高等数理统计[M].北京:高等教育出版社,2006:450-454.
[25] Griffiths T L,Steyvers M.Finding scientific topics[C]//Proceedings of the National Academy of Sciences of the United States of America.Washington:NATL ACAD,2004:5228-5235.
[26] 王金龙,徐从富,耿雪玉.基于概率图模型的科研文献主题演化研究[J].情报学报,2009,28(3):347-355.
[27] 石晶,李万龙.基于LDA模型的主题词抽取方法[J].计算机工程,2010,36(19):81-83.
[28] 崔凯,周斌,贾焰,等.一种基于LDA的在线主题演化挖掘模型[J].计算机科学,2010(11):156-159.
[29] 胡吉明,陈果.基于动态LDA主题模型的内容主题挖掘与演化[J].图书情报工作,2014,58(2):138-142.
[30] 刘军.社会网络分析导论[M].北京:社会科学文献出版社,2004:98-101.
[31] Karamon J,Matsuo Y,Yamamoto H,et al.Generating social network features for link-based classification[C]//Proceedings of the 18th European Conference on Machine Learning(ECML 2007)/11th European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD 2007).Berlin:Sprmger, 2007:127-139.
[32] Krafft J,Quatraro F,Saviotti P P.The knowledge base evolution in biotechnology: A social network analysis[J].Economics of Innovation and New Technology,2011,20(5):445-475.
[33] 王念祖,隋鑫.2009~2013年两岸图书馆学热点对比研究[J].图书情报知识,2014(4):14-25.
[34] Chen Chaomei.CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J].Journal of the American Society for Information Science and Technology,2006,57(3):359-377. |