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KDD
2007
ACM
148views Data Mining» more  KDD 2007»
15 years 10 months 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
79
Voted
ICSM
2009
IEEE
15 years 4 months ago
What's hot and what's not: Windowed developer topic analysis
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of un...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
102
Voted
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 5 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
84
Voted
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
14 years 11 months ago
Towards Finding Valuable Topics
Enterprises depend on their information workers finding valuable information to be productive. However, existing enterprise search and recommendation systems can exploit few studi...
Zhen Wen, Ching-Yung Lin
CIKM
2005
Springer
15 years 3 months ago
Biasing web search results for topic familiarity
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Giridhar Kumaran, Rosie Jones, Omid Madani