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» Ranking Information in Networks
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WWW
2007
ACM
14 years 8 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
BMCBI
2004
114views more  BMCBI 2004»
13 years 7 months ago
Extending the mutual information measure to rank inferred literature relationships
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Jonathan D. Wren
WEBI
2010
Springer
13 years 5 months ago
Ranking Approaches for Microblog Search
Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time...
Rinkesh Nagmoti, Ankur Teredesai, Martine De Cock
IPM
2008
100views more  IPM 2008»
13 years 7 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
ISNN
2009
Springer
14 years 1 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier