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» Measuring and Predicting Object Importance
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JCSS
2006
77views more  JCSS 2006»
15 years 3 months ago
Sequential predictions based on algorithmic complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=-log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomonof...
Marcus Hutter
118
Voted
WWW
2009
ACM
16 years 4 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
107
Voted
BMCBI
2007
115views more  BMCBI 2007»
15 years 3 months ago
How accurate and statistically robust are catalytic site predictions based on closeness centrality?
Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...
Eric Chea, Dennis R. Livesay
149
Voted
ASUNAM
2011
IEEE
14 years 3 months ago
Multi-relational Link Prediction in Heterogeneous Information Networks
Abstract—Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such ...
Darcy A. Davis, Ryan Lichtenwalter, Nitesh V. Chaw...
140
Voted
SIGIR
2006
ACM
15 years 9 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...