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CIKM
2003
Springer
13 years 10 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
FLAIRS
2007
13 years 7 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
ECIR
2003
Springer
13 years 6 months ago
Taming Wild Phrases
Abstract. In this paper the suitability of different document representations for automatic document classification is compared, investigating a whole range of representations be...
Cornelis H. A. Koster, Marc Seutter
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
13 years 10 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
SAC
2011
ACM
12 years 8 months ago
Hierarchical comments-based clustering
Information resources on the Web like videos, images, and documents are increasingly becoming more “social” through user engagement via commenting systems. These commenting sy...
Chiao-Fang Hsu, James Caverlee, Elham Khabiri