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» Magnitude-preserving ranking algorithms
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ICML
2006
IEEE
14 years 10 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
CIKM
2000
Springer
14 years 2 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
ICDE
2010
IEEE
202views Database» more  ICDE 2010»
14 years 9 months ago
Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...
WEBI
2007
Springer
14 years 3 months ago
Experimental Bounds on the Usefulness of Personalized and Topic-Sensitive PageRank
PageRank is an algorithm used by several search engines to rank web documents according to their assumed relevance and popularity deduced from the Web’s link structure. PageRank...
Sinan Al-Saffar, Gregory L. Heileman
NETGAMES
2005
ACM
14 years 3 months ago
FreeRank: implementing independent ranking service for multiplayer online games
Ranking is necessary for multiplayer online games to provide players with self-complacence and reference for choosing game counterparts. Most existing ranking solutions are tightl...
Li Tang, Jun Li, Jin Zhou, Zhizhi Zhou, Hao Wang, ...