Fetching the paper…
Reading the bibliography…
Modern social platforms are characterized by the presence of rich user-behavior data associated with the publication, sharing and consumption of textual content.
Ecole d’Ete de Probabilites de Saint-Flour XIII, 1983
David J Aldous, Illdar A Ibragimov, and Jean Jacod. 2006 · 1983
Earlier work this paper cites.
The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem
Jun S Liu. 1994 · 1994
Earlier work this paper cites.
The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
Jim Pitman and Marc Yor. 1997 · 1997
Earlier work this paper cites.
Emergence of scaling in random networks
Albert-László Barabási and Réka Albert. 1999 · 1999
Earlier work this paper cites.
Estimating a Dirichlet distribution
Thomas Minka. 2000 · 2000
Earlier work this paper cites.
Cubesvd: a novel approach to personalized web search. In Proceedings of the 14th international conference on World Wide Web
Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, and Zheng Chen. 2005 · 2005
Earlier work this paper cites.
Interpolating between types and tokens by estimating power-law generators. In Advances in neural information processing systems
Sharon Goldwater, Mark Johnson, and Thomas L Griffiths. 2006 · 2006
Earlier work this paper cites.
A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Yee Whye Teh. 2006 · 2006
Earlier work this paper cites.
Topics over time: a non-Markov continuous-time model of topical trends. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Xuerui Wang and Andrew McCallum. 2006 · 2006
Earlier work this paper cites.
Bayesian modeling of dependency trees using hierarchical Pitman-Yor priors. In ICML Workshop on Prior Knowledge for Text and Language Processing
Hanna Wallach, Charles Sutton, and Andrew McCallum. 2008 · 2008
Earlier work this paper cites.
Relational topic models for document networks. In International conference on artificial intelligence and statistics
Jonathan Chang and David M Blei. 2009 · 2009
Earlier work this paper cites.
Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky. 2009 · 2009
Earlier work this paper cites.
Topic-link LDA: joint models of topic and author community. In proceedings of the 26th annual international conference on machine learning
Yan Liu, Alexandru Niculescu-Mizil, and Wojciech Gryc. 2009 · 2009
Earlier work this paper cites.
Predicting positive and negative links in online social networks. In Proceedings of the 19th international conference on World wide web
Jure Leskovec, Daniel Huttenlocher, and Jon Kleinberg. 2010 · 2010
Earlier work this paper cites.
Mining topic-level influence in heterogeneous networks. In Proceedings of the 19th ACM international conference on Information and knowledge management
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, and Shiqiang Yang. 2010 · 2010
Earlier work this paper cites.
Diversifying Query Suggestion Results.. In AAAI
Hao Ma, Michael R Lyu, and Irwin King. 2010 · 2010
Earlier work this paper cites.
The ideals and reality of participating in a MOOC. In Proceedings of the 7th International Conference on Networked Learning 2010
Jenny Mackness, Sui Mak, and Roy Williams. 2010 · 2010
Earlier work this paper cites.
Topic models with power-law using Pitman-Yor process. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Issei Sato and Hiroshi Nakagawa. 2010 · 2010
Cited alongside, same era.
Who should share what?: item-level social influence prediction for users and posts ranking. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, and Lifeng Sun. 2011 · 2011
Cited alongside, same era.
Dirichlet process
Yee Whye Teh. 2011 · 2011
Cited alongside, same era.
Patterns of temporal variation in online media. In Proceedings of the fourth ACM international conference on Web search and data mining
Jaewon Yang and Jure Leskovec. 2011 · 2011
Cited alongside, same era.
Predicting Drop-Out from Social Behaviour of Students
Jaroslav Bayer, Hana Bydzovská, Jan Géryk, Tomás Obsivac, and Lubomir Popelinsky. 2012 · 2012
Understanding evolution of research themes: a probabilistic generative model for citations. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Xiaolong Wang, Chengxiang Zhai, and Dan Roth. 2013 · 2013
Later among the works it cites.
Lcars: a location-content-aware recommender system. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, and Ling Chen. 2013 · 2013
Later among the works it cites.
Xiaodong Zheng, Hao Ding, Hiroshi Mamitsuka, and Shanfeng Zhu. 2013 · 2013
Later among the works it cites.
Engaging with massive online courses. In Proceedings of the 23rd international conference on World wide web
Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, and Jure Leskovec. 2014 · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Finding bursty topics from microblogs. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1
Qiming Diao, Jing Jiang, Feida Zhu, and Ee-Peng Lim. 2012 · 2012
Cited alongside, same era.
Question-answer topic model for question retrieval in community question answering. In Proceedings of the 21st ACM international conference on Information and knowledge management
Zongcheng Ji, Fei Xu, Bin Wang, and Ben He. 2012 · 2012
Cited alongside, same era.
A phrase-discovering topic model using hierarchical pitman-yor processes. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Robert V Lindsey, William P Headden III, and Michael J Stipicevic. 2012 · 2012
Cited alongside, same era.
Rise and fall patterns of information diffusion: model and implications. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Yasuko Matsubara, Yasushi Sakurai, B Aditya Prakash, Lei Li, and Christos Faloutsos. 2012 · 2012
Cited alongside, same era.
Finding expert users in community question answering. In Proceedings of the 21st International Conference on World Wide Web
Fatemeh Riahi, Zainab Zolaktaf, Mahdi Shafiei, and Evangelos Milios. 2012 · 2012
Cited alongside, same era.
Alleviating data sparsity for twitter sentiment analysis. CEUR Workshop Proceedings (CEUR-WS. org)
Hassan Saif, Yulan He, and Harith Alani. 2012 · 2012
Cited alongside, same era.
Cascading outbreak prediction in networks: a data-driven approach. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, and Shiqiang Yang. 2013 · 2013
Cited alongside, same era.
Visualizing patterns of student engagement and performance in MOOCs. In Proceedings of the fourth international conference on learning analytics and knowledge
Carleton Coffrin, Linda Corrin, Paula de Barba, and Gregor Kennedy. 2014 · 2014
Later among the works it cites.
Fema: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, and Shiqiang Yang. 2014 · 2014
Later among the works it cites.
Social factors that contribute to attrition in MOOCs. In Proceedings of the first ACM conference on Learning@ scale conference
Carolyn Penstein Rosé, Ryan Carlson, Diyi Yang, Miaomiao Wen, Lauren Resnick, Pam Goldman, and Jennifer Sherer. 2014 · 2014
Later among the works it cites.
Tanmay Sinha, Patrick Jermann, Nan Li, and Pierre Dillenbourg. 2014 · 2014
Later among the works it cites.
A dirichlet multinomial mixture model-based approach for short text clustering. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
Jianhua Yin and Jianyong Wang. 2014 · 2014
Later among the works it cites.
A Tri-Role Topic Model for Domain-Specific Question Answering.. In AAAI
Zongyang Ma, Aixin Sun, Quan Yuan, and Gao Cong. 2015 · 2015
Later among the works it cites.
Space-Time Aware Behavioral Topic Modeling for Microblog Posts
Qiang Qu, Cen Chen, Christian S Jensen, and Anders Skovsgaard. 2015 · 2015
Later among the works it cites.
Short and Sparse Text Topic Modeling via Self-Aggregation.. In IJCAI
Xiaojun Quan, Chunyu Kit, Yong Ge, and Sinno Jialin Pan. 2015 · 2015
Later among the works it cites.
Improving user topic interest profiles by behavior factorization. In Proceedings of the 24th International Conference on World Wide Web
Zhe Zhao, Zhiyuan Cheng, Lichan Hong, and Ed H Chi. 2015 · 2015
Later among the works it cites.
Modeling and predicting learning behavior in MOOCs. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, and Yufei Xue. 2016 · 2016
Later among the works it cites.
Leveraging semantic resources in diversified query expansion
Adit Krishnan, P Deepak, Sayan Ranu, and Sameep Mehta. 2017a · 2017
Closest in time.
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
Adit Krishnan, Aravind Sankar, Shi Zhi, and Jiawei Han. 2017b · 2017
Closest in time.