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RIVF
2008
15 years 6 months ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
WAIM
2007
Springer
15 years 10 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
143
Voted
CIKM
2003
Springer
15 years 9 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
SIGIR
2008
ACM
15 years 4 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
130
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WWW
2006
ACM
16 years 5 months ago
A web-based kernel function for measuring the similarity of short text snippets
Determining the similarity of short text snippets, such as search queries, works poorly with traditional document similarity measures (e.g., cosine), since there are often few, if...
Mehran Sahami, Timothy D. Heilman