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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 24 days 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
ICASSP
2011
IEEE
14 years 6 months ago
Automatic video annotation via Hierarchical Topic Trajectory Model considering cross-modal correlations
We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for acquiring a dynamically changing topic model that represents the relationship between vid...
Takuho Nakano, Akisato Kimura, Hirokazu Kameoka, S...
143
Voted
ACML
2009
Springer
15 years 9 months ago
Injecting Structured Data to Generative Topic Model in Enterprise Settings
Enterprises have accumulated both structured and unstructured data steadily as computing resources improve. However, previous research on enterprise data mining often treats these ...
Han Xiao, Xiaojie Wang, Chao Du
153
Voted
ACL
2009
15 years 7 days ago
Employing Topic Models for Pattern-based Semantic Class Discovery
A semantic class is a collection of items (words or phrases) which have semantically peer or sibling relationship. This paper studies the employment of topic models to automatical...
Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong We...
NIPS
2003
15 years 3 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...