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» Toward Improved Ranking Metrics
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 7 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
KIVS
2005
Springer
14 years 29 days ago
Caching for Improved Retrieval in Peer-to-Peer Networks
: In modern information systems the dominant retrieval paradigms have shifted from exact matching towards retrieving a list of the most relevant objects. This is because users usua...
Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, Uw...
ECIR
2009
Springer
14 years 4 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
13 years 11 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley
MTSR
2007
Springer
14 years 1 months ago
Quality Metrics in Learning Objects
In today's rapidly evolving society, the range and depth of information available to us is quickly growing which affects educational institutions, who find it difficult to kee...
Juan F. Cervera, María G. López-L&oa...