Personalized news recommendation using graph-based approach

[1]  Jaana Kekäläinen,et al.  IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR Forum.

[2]  Michalis Vazirgiannis,et al.  Efficient Online Novelty Detection in News Streams , 2013, WISE.

[3]  Qiaozhu Mei,et al.  One theme in all views: modeling consensus topics in multiple contexts , 2013, KDD.

[4]  Lin Wu,et al.  Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph , 2013, MMM.

[5]  Guojun Liu,et al.  Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks , 2011, ICADL.

[6]  Ruoming Jin,et al.  Topic level expertise search over heterogeneous networks , 2010, Machine Learning.

[7]  M. de Rijke,et al.  A language modeling framework for expert finding , 2009, Inf. Process. Manag..

[8]  Max Welling,et al.  Fast collapsed gibbs sampling for latent dirichlet allocation , 2008, KDD.

[9]  Juan-Zi Li,et al.  A Mixture Model for Expert Finding , 2008, PAKDD.

[10]  W. Bruce Croft,et al.  An information-pattern-based approach to novelty detection , 2008, Inf. Process. Manag..

[11]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.

[12]  Hongyuan Zha,et al.  Co-ranking Authors and Documents in a Heterogeneous Network , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[13]  W. Bruce Croft,et al.  Improving novelty detection for general topics using sentence level information patterns , 2006, CIKM '06.

[14]  Wei Li,et al.  Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.

[15]  W. Bruce Croft,et al.  Novelty detection based on sentence level patterns , 2005, CIKM '05.

[16]  Alan F. Smeaton,et al.  Finding New News: Novelty Detection in Broadcast News , 2005, AIRS.

[17]  Kathleen McKeown,et al.  Context and Learning in Novelty Detection , 2005, HLT.

[18]  Thomas L. Griffiths,et al.  Probabilistic author-topic models for information discovery , 2004, KDD.

[19]  Ellen M. Voorhees,et al.  Retrieval evaluation with incomplete information , 2004, SIGIR '04.

[20]  James Allan,et al.  A critical examination of TDT's cost function , 2002, SIGIR '02.

[21]  Jaana Kekäläinen,et al.  IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR '00.

[22]  George Karypis,et al.  A Comparison of Document Clustering Techniques , 2000 .

[23]  K. Weinfurt,et al.  Reliability of Reports of Violent Victimization and Posttraumatic Stress Disorder Among Men and Women With Serious Mental Illness , 1999, Journal of traumatic stress.

[24]  Thomas Hofmann,et al.  Probabilistic latent semantic indexing , 1999, SIGIR '99.

[25]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.