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» Evaluating topic models for digital libraries
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ICDE
2007
IEEE
121views Database» more  ICDE 2007»
15 years 3 months ago
Evaluating Different Ranking Functions for Context-Based Literature Search
Context-based literature digital library search is a new search paradigm that creates an effective ranking of query outputs by controlling query output topic diversity. We define ...
Nattakarn Ratprasartporn, Sulieman Bani-Ahmad, Ali...
JCDL
2011
ACM
272views Education» more  JCDL 2011»
14 years 2 months ago
CollabSeer: a search engine for collaboration discovery
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively dis...
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde ...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 7 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
WIDM
2004
ACM
15 years 5 months ago
User evaluation of the NASA technical report server recommendation service
We present the user evaluation of two recommendation server methodologies implemented for the NASA Technical Report Server (NTRS). One methodology for generating recommendations u...
Michael L. Nelson, Johan Bollen, JoAnne R. Calhoun...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 5 days ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles