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CIKM
2005
Springer
15 years 11 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
AAAI
2006
15 years 7 months ago
Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
When humans approach the task of text categorization, they interpret the specific wording of the document in the much larger context of their background knowledge and experience. ...
Evgeniy Gabrilovich, Shaul Markovitch
WWW
2008
ACM
16 years 6 months ago
Larger is better: seed selection in link-based anti-spamming algorithms
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...
Qiancheng Jiang, Lei Zhang, Yizhen Zhu, Yan Zhang
EWCBR
2006
Springer
15 years 9 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
BILDMED
2007
148views Algorithms» more  BILDMED 2007»
15 years 7 months ago
Complete Digital Iconic and Textual Annotation for Mammography
This work aims to propose an interactive method for a iconic and textual annotation of digital mammograms. The suggested annotation tool consists of a semantic network to represent...
Thomas Wittenberg, Matthias Elter, Rüdiger Sc...