Computer Science ›› 2017, Vol. 44 ›› Issue (7): 180-184.doi: 10.11896/j.issn.1002-137X.2017.07.032
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ZHANG Xiao-yang, QIN Gui-he, ZOU Mi, SUN Ming-hui and GAO Qing-yang
[1] ZHOU X G,GAO F,SUN Y.Sub-topic detection and tracking based on dependency connection weights for vector space model[J].Journal on Communications,2013,4(8):1-9.(in Chinese) 周学广,高飞,孙艳.基于依存连接权VSM的子话题检测与跟踪方法[J].通信学报,2013,4(8):1-9. [2] TURNEY P D,PANTEL P.From frequency to meaning:vector space models of semantics[J].Journal of Artificial Intelligence Research,2015,37(4):141-188. [3] LIN Y S,LIANG L,CUI Y,et al.Intelligent medical guide system based on vsm weight imporvement algorithm[J].Computer Applications and Software,2015,2(9):81-83,111.(in Chinese) 林予松,梁璐,崔勇,等.基于VSM权重改进算法的智能导医系统[J].计算机应用与软件,2015,2(9):81-83,111. [4] HUANG C H,YIN J,HOU F.A Text Similarity Measurement Combining Word Semantic Information with TF-IDF Method[J].Chinese Journal of Computers,2011,4(5):856-864.(in Chinese) 黄承慧,印鉴,侯昉.一种结合词项语义信息和TF-IDF方法的文本相似度量方法[J].计算机学报,2011,4(5):856-864. [5] HOGENBOOM A,BAL D,FRASINCAR F,et al.Exploiting emo-ticons in polarity classification of text[J].Journal of Web Engineering,2015,14(1):22-40. [6] ZHOU Y,DAI M H.News Recommendation Technology Combining Semantic Analysis with TF-IDF Method[J].Computers Science,2013,0(S2):267-269,300.(in Chinese) 周由,戴牡红.语义分析与TF-IDF方法相结合的新闻推荐技术[J].计算机科学,2013,0(S2):267-269,300. [7] RAMAGE D,HEYMANN P,MANNING C D,et al.Clustering the tagged web[C]∥International Conference on Web Search & Web Data Mining.2009:54-63. [8] PEI Y B,LIU X X.Study on improved CHI for feature selection in Chinese text categorization.Computer Engineering and Applications[J].Computer Engineering and Applications,2011,7(4):128-130,194.(in Chinese) 裴英博,刘晓霞.文本分类中改进型CHI特征选择方法的研究[J].计算机工程与应用,2011,7(4):128-130,194. [9] QIU Y F,WANG W,LIU D Y,et al.CHI feature selectionmethod based on variance[J].Application Research of Compu-ters,2012,9(4):1304-1306.(in Chinese) 邱云飞,王威,刘大有,等.基于方差的CHI特征选择方法[J].计算机应用研究,2012,9(4):1304-1306. [10] REN Y G,YANG R J,YIN M F,et al.Information-gain-based Text Feature Selection Method[J].Computer Science,2012,9(11):127-130.(in Chinese) 任永功,杨荣杰,尹明飞,等.基于信息增益的文本特征选择方法[J].计算机科学,2012,9(11):127-130. [11] ZHAO F,ZHU Y,JIN H,et al.A personalized hashtag recommendation approach using LDA-based topic model in microblog environment[J].Future Generation Computer Systems,2016,65:196-206. [12] WANG L R,YU Z T,WANG Y B,et al.Micro-blogging topic mining based on supervised LDA user interest model[J].Journal of Shandong University(Natural Science),2015,0(9):36-41.(in Chinese) 王立人,余正涛,王炎冰,等.基于有指导LDA用户兴趣模型的微博主题挖掘[J].山东大学学报(理学版),2015,0(9):36-41. [13] CHEN W T,ZHANG X M,LI Z J.Analysis of Topic Models on Modeling MicroBlog User Interestingness[J].Computer Science,2013,40(4):127-130,135.(in Chinese) 陈文涛,张小明,李舟军.构建微博用户兴趣模型的主题模型的分析[J].计算机科学,2013,0(4):127-130,135. [14] DI L,DU Y P.Application of LDA Model in Microblog UserRecommendation[J].Computer Engineering,2014,0(5):1-6,11.(in Chinese) 邸亮,杜永萍.LDA模型在微博用户推荐中的应用[J].计算机工程,2014,0(5):1-6,11. [15] BLEI D M,NG A Y,JORDAN M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research,2003,3:993-1022. [16] FOX C,PARKER A.Convergence in variance of Chebyshev accelerated Gibbs samplers[J].Siam Journal on Scientific Computing,2014,36(1):A124-A147. [17] ROBERTSON S E,WALKER S,JONES S,et al.Okapi atTREC-3[C]∥Proceedings of the Third Text Retrieval Conference(TRCE 1994).Gaithersburg,USA,1994. [18] SHAO K,ZHANG J W.Research on personalized recommendation of Web text mining based on BM25F model[J].Information Studies:Theory & Application,2013,6(11):118-122.(in Chinese) 邵康,张建伟.基于BM25F模型的Web文本挖掘个性化推荐研究[J].情报理论与实践,2013,6(11):118-122. |
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