[1] BORNMANN L, RVDIGER M. Growth rates of modern science:a bibliometric analysis based on the number of publications and cited references[J]. Journal of the Association for Information Science and Technology, 2015, 66(11):2215-2222.
[2] 周剑, 王艳, XIE I. 世代特征,信息环境变迁与大学生信息素养教育创新[J]. 中国图书馆学报, 2015, 41(4):25-39.
[3] DONG X, GABRILOVICH E, GEREMY H, et al. Knowledge vault:a web-scale approach to probabilistic knowledge fusion[C]//Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. New York:ACM, 2014:601-610.
[4] 赵蓉英, 陈烨. 学术搜索引擎Google scholar和Microsoft academic search的比较研究[J]. 情报科学, 2014, 32(2):3-6,15.
[5] 胡伶霞. 图书馆OPAC检索中基于词典的查询意图自动识别[J]. 图书馆学研究, 2016(23):72-76.
[6] 李兵. 基于查询意图识别的自适应图书分面检索研究[J]. 图书馆学研究, 2017(15):57-64.
[7] BRODER A. A taxonomy of web search[C]//Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval. Tampere:ACM, 2002:3-10.
[8] ROSE D,LEVINSON D. Understanding user goals in web search[C]//Proceedings of the 13th international conference on World Wide Web. New York:ACM, 2004:13-19.
[9] BEITZEL S, JENSEN E, FRIEDER O,et al. Automatic web query classification using labeled and unlabeled training data[C]//Proceedings of the 28th annual international ACM SIGIR conference on research and development in information retrieval.Salvador:ACM, 2005:581-582.
[10] BRENES D, GAYO-AVELLO D, PÉREZ-GONZÁLEZ K. Survey and evaluation of query intent detection methods[C]//Proceedings of the 2009 workshop on web search click data. Barcelona:ACM, 2009:1-7.
[11] LIU Y, ZHANG M, RU L, et al. Automatic query type identification based on click through information[C]//Asia information retrieval symposium. Singapore:Springer, 2006:593-600.
[12] BELKIN N, KELLY D, KIM G, et al. Query length in interactive information retrieval[C]//Proceedings of the 26th annual international ACM SIGIR conference on research and development in information retrieval. Toronto:ACM, 2003:205-212.
[13] JANSEN B, BOOTH D, SPINK A. Determining the user intent of web search engine queries[C]//Proceedings of the 16th international conference on World Wide Web. Banff:ACM, 2007:1149-1150.
[14] HERRERA M.R, MOURA E.S, CRISTO M, et al. Exploring features for the automatic identification of user goals in web search[J]. Information processing & management, 2010, 46(2):131-142.
[15] 张晓娟. 查询意图自动分类与分析[D]. 武汉:武汉大学, 2014.
[16] KHABSA M, WU Z, C. GILES L. Towards better understanding of academic search[C]//Joint conference on digital libraries 2016. Newark:ACM, 2016:111-114.
[17] CHANG Y, HE K, YU S, et al. Identifying user goals from Web search results[C]//International conference on Web intelligence Hong Kong:ACM, 2006:1038-1041.
[18] MENDOZA M, ZAMORA J. Identifying the intent of a user query using support vector machines[C]//International symposium on string processing and information Retrieval. Berlin:Springer, 2009:131-142.
[19] GUO J, XU G, CHENG X, et al. Named entity recognition in query[C]//Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval. Boston:ACM, 2009:267-274. |