Deerwester S,Dumais SS T,Furnas G W,Landauer T K,Harshman R.Indexing by latent semantic analysis[J].JAM SOC INFORM SCI,1990,41(6):391-407.
[2]
Blei D,Ng A,Jordan M.Latent dirichlet allocation[J].Journal of Machine Learning Research,2003,3(1):993-1022.
[3]
王李冬,等.基于概率主题模型的文档聚类[J].电子学报,2012,40(11):2346-2350. Wang Lidong,et al.Document clustering based on probabilistic topic model[J].Acta Electronica Sinica,2012,40(11):2346-2350.(in Chinese)
[4]
吴永辉,等.基于主题的自适应、在线网络热点发现方法及新闻推荐系统[J].电子学报,2010,38(11):2620-2634. Wu yonghui,et al.Adaptive on-line web topic detection method for web news recommendation system[J].Acta Electronica Sinica,2010,38(11):2620-2634.(in Chinese)
[5]
Chang J,Blei D.Hierarchical relational models for document networks[J].The Annals of Applied Statistics,2010,4(1):124-150.
[6]
Blei D,McAuliffe J.Supervised topic models[A].Neural Inforamtion Processing System Conference[C].Vancouver,Canada:MIT Press,2007.1-8.
[7]
Zhu J,Ahmed A,Xing E P.MedLDA:maximum margin supervised topic models for regression and classification[A].International Conference on Machine Learning[C].Montreal,Canada:ACM,2009.158-1264.
[8]
Erosheva E,Fienberg S,Lafferty J.Mixed-membership models of scientific publications[J].National Academy of Sciences,2004,97(22):11885-11892.
[9]
Wang Q,et al.Regularized latent semantic indexing[A].SIGIR''2011[C].Beijing,China:ACM,2011.685-694.
[10]
Nallapati R,Cohen W.Link-PLSA-LDA:a new unsupervised model for topics and influence of blogs[A].Proceedings of Association for the Advancement of Artificial Intelligence[C].Chicago,USA:AAAI Press,2008.84-92.
[11]
Xu J,et al.LETOR:Benchmark letor dataset for research on learning to rank for information retrieval[A].Proceding of SIGIR Workshop on Learning to Rank for Information Retrieval[C].Amsterdam,Holland:ACM,2007.201-206.
[12]
Qin T,Liu T,Xu J,Li H.LETOR:Benchmark letor dataset for research on learning to rank for information retrieval[J].Information Retrieval,2010,13(4):346-374.
[13]
Joachims T.Training Linear SVMs in Linear Time[A].the ACM Conference on Knowledge Discovery and Data Mining[C].Philadelphia,USA:ACM,2006.217-226.
[14]
Jarvelin K,Kekalainen,J.IR evaluation methods for retrieving highly relevant documents[A].SIGIR''000[C].Athens,Greece:ACM,2000.41-48.
