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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 5 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
TMRA
2007
Springer
14 years 1 months ago
Topincs Wiki - A Topic Maps Powered Wiki
Abstract. Topincs provides a RESTful web service interface for retrieval and manipulation of topic maps. A Topincs Server implementing the interface can host many stores, which are...
Robert Cerny
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
13 years 11 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
ICML
2010
IEEE
13 years 8 months ago
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
Sinead Williamson, Chong Wang, Katherine A. Heller...
NIPS
2003
13 years 8 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...