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» Detecting Topic Drift with Compound Topic Models
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AAAI
2011
12 years 7 months ago
Temporal Dynamics of User Interests in Tagging Systems
Collaborative tagging systems are now deployed extensively to help users share and organize resources. Tag prediction and recommendation systems generally model user behavior as r...
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. D...
CHI
2009
ACM
14 years 8 months ago
Conversation clusters: grouping conversation topics through human-computer dialog
Conversation Clusters explores the use of visualization to highlight salient moments of live conversation while archiving a meeting. Cheaper storage and easy access to recording d...
Tony Bergstrom, Karrie Karahalios
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CLEF
2011
Springer
12 years 7 months ago
Simulation of Within-Session Query Variations Using a Text Segmentation Approach
Abstract. We propose a generative model for automatic query reformulations from an initial query using the underlying subtopic structure of top ranked retrieved documents. We addre...
Debasis Ganguly, Johannes Leveling, Gareth J. F. J...