Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments
暂无分享,去创建一个
Xiaofei He | Wei Zhao | Ziyu Guan | Huan Sun | Zhiheng Wang | Yuhui Huang | Tingting Xi | Xiaofei He | Huan Sun | Ziyu Guan | Wei Zhao | Zhiheng Wang | Yuhui Huang | Tingting Xi
[1] Scott Counts,et al. Identifying topical authorities in microblogs , 2011, WSDM '11.
[2] Chong Wang,et al. Variational inference in nonconjugate models , 2012, J. Mach. Learn. Res..
[3] Laks V. S. Lakshmanan,et al. Learning influence probabilities in social networks , 2010, WSDM '10.
[4] Jianxin Li,et al. Most Influential Community Search over Large Social Networks , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).
[5] David M. Blei,et al. Content-based recommendations with Poisson factorization , 2014, NIPS.
[6] Yang Yang,et al. Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation , 2017, AAAI.
[7] Juan Hu,et al. Topical authority propagation on microblogs , 2013, CIKM.
[8] Yang Liu,et al. Who Influenced You? Predicting Retweet via Social Influence Locality , 2015, ACM Trans. Knowl. Discov. Data.
[9] David M. Blei,et al. Scalable Recommendation with Poisson Factorization , 2013, ArXiv.
[10] Yong Yu,et al. Diffusion-aware personalized social update recommendation , 2013, RecSys.
[11] Xuanjing Huang,et al. Retweet Behavior Prediction Using Hierarchical Dirichlet Process , 2015, AAAI.
[12] Rizal Setya Perdana. What is Twitter , 2013 .
[13] Wei Zhang,et al. A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation , 2015, KDD.
[14] Xiaohui Yan,et al. A biterm topic model for short texts , 2013, WWW.
[15] Mohammed J. Zaki,et al. ProfileRank: finding relevant content and influential users based on information diffusion , 2013, SNAKDD '13.
[16] Xiaoyu Du,et al. Outer Product-based Neural Collaborative Filtering , 2018, IJCAI.
[17] Fabián Riquelme,et al. Measuring user influence on Twitter: A survey , 2015, Inf. Process. Manag..
[18] Juan-Zi Li,et al. Understanding retweeting behaviors in social networks , 2010, CIKM.
[19] Brian D. Davison,et al. Co-factorization machines: modeling user interests and predicting individual decisions in Twitter , 2013, WSDM.
[20] Juan-Zi Li,et al. Social Influence Locality for Modeling Retweeting Behaviors , 2013, IJCAI.
[21] Aaron Schein,et al. Inferring Polyadic Events With Poisson Tensor Factorization , 2014 .
[22] Yong Yu,et al. Collaborative personalized tweet recommendation , 2012, SIGIR '12.
[23] Matthew Michelson,et al. Tweet Disambiguate Entities Retrieve Folksonomy SubTree Step 1 : Discover Categories Generate Topic Profile from SubTrees Step 2 : Discover Profile Topic Profile : “ English Football ” “ World Cup ” , 2011 .
[24] Fenglong Ma,et al. Topical Influential User Analysis with Relationship Strength Estimation in Twitter , 2014, 2014 IEEE International Conference on Data Mining Workshop.
[25] Jimeng Sun,et al. Social influence analysis in large-scale networks , 2009, KDD.
[26] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[27] Xiaowen Dai,et al. User‐level microblogging recommendation incorporating social influence , 2017, J. Assoc. Inf. Sci. Technol..
[28] Xiaoyu Du,et al. Fast Matrix Factorization With Nonuniform Weights on Missing Data , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[29] Danah Boyd,et al. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.
[30] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[31] Rediet Abebe. Can Cascades be Predicted? , 2014 .
[32] Indrajit Bhattacharya,et al. Online Topic-based Social Influence Analysis for the Wimbledon Championships , 2015, KDD.
[33] Matthew Richardson,et al. Mining knowledge-sharing sites for viral marketing , 2002, KDD.
[34] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[35] Xuanjing Huang,et al. Retweet Prediction with Attention-based Deep Neural Network , 2016, CIKM.
[36] Ravi Kumar,et al. Influence and correlation in social networks , 2008, KDD.
[37] Jure Leskovec,et al. SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity , 2015, KDD.
[38] Qi Tian,et al. Adversarial Training Towards Robust Multimedia Recommender System , 2018, IEEE Transactions on Knowledge and Data Engineering.
[39] Ee-Peng Lim,et al. Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics? , 2013, SDM.
[40] Fei Wang,et al. Social contextual recommendation , 2012, CIKM.
[41] Wei Chen,et al. Diffusion of “Following” Links in Microblogging Networks , 2015, IEEE Transactions on Knowledge and Data Engineering.
[42] Younghoon Kim,et al. TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling , 2011, 2011 IEEE 11th International Conference on Data Mining.
[43] Yifan Hu,et al. Collaborative Filtering for Implicit Feedback Datasets , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[44] Qi He,et al. TwitterRank: finding topic-sensitive influential twitterers , 2010, WSDM '10.
[45] Jianyong Wang,et al. Retweet or not?: personalized tweet re-ranking , 2013, WSDM.
[46] Jon M. Kleinberg,et al. Feedback effects between similarity and social influence in online communities , 2008, KDD.
[47] Hosung Park,et al. What is Twitter, a social network or a news media? , 2010, WWW '10.
[48] Ed H. Chi,et al. Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network , 2010, 2010 IEEE Second International Conference on Social Computing.
[49] Meng Wang,et al. Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[51] Yannis Sismanis,et al. Scalable topic-specific influence analysis on microblogs , 2014, WSDM.
[52] Fabio Ciravegna,et al. Social influence analysis in microblogging platforms - A topic-sensitive based approach , 2014, Semantic Web.
[53] Steffen Rendle,et al. Factorization Machines with libFM , 2012, TIST.
[54] Juston Moore,et al. Poisson factorization for peer-based anomaly detection , 2016, 2016 IEEE Conference on Intelligence and Security Informatics (ISI).
[55] Jiawei Han,et al. Learning influence from heterogeneous social networks , 2012, Data Mining and Knowledge Discovery.
[56] W. Bruce Croft,et al. User oriented tweet ranking: a filtering approach to microblogs , 2011, CIKM '11.
[57] Ali Taylan Cemgil,et al. Bayesian Inference for Nonnegative Matrix Factorisation Models , 2009, Comput. Intell. Neurosci..
[58] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[59] Jianxin Li,et al. Personalized Influential Topic Search via Social Network Summarization , 2016, IEEE Transactions on Knowledge and Data Engineering.
[60] Jon Kleinberg,et al. Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter , 2011, WWW.
[61] Tony White,et al. Modelling Influence in a Social Network: Metrics and Evaluation , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.