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129
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CORR
2012
Springer
220views Education» more  CORR 2012»
13 years 10 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
83
Voted
SIGIR
2002
ACM
15 years 1 months ago
Improving realism of topic tracking evaluation
Topic tracking and information filtering are models of interactive tasks, but their evaluations are generally done in a way that does not reflect likely usage. The models either f...
Anton Leuski, James Allan
SIGIR
2000
ACM
15 years 6 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
TMRA
2007
Springer
15 years 8 months ago
Expressing Dublin Core in Topic Maps
The Dublin Core Metadata Initiative is an open organization engaged in the development of interoperable online metadata standards that support a broad range of purposes and busines...
Steve Pepper
112
Voted
WWW
2004
ACM
16 years 2 months ago
Query and content suggestion based on latent interest and topic class
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno