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» Learning information diffusion process on the web
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CIKM
2008
Springer
13 years 9 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
AI
2007
Springer
14 years 1 months ago
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as...
Yang Yu, Yun Peng
EUROMICRO
2000
IEEE
13 years 11 months ago
Distributed Virtual Learning Environment: A Web-Based Approach
In this paper, we present a web-based Distributed Virtual Learning Environment (DVLE) that could be used as a sophisticated tool for distance education and collaboration between t...
Christos Bouras, Alexandros Philopoulos
CIKM
2008
Springer
13 years 9 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 7 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng