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EMNLP
2009
13 years 3 months ago
Empirical Exploitation of Click Data for Task Specific Ranking
There have been increasing needs for task specific rankings in web search such as rankings for specific query segments like long queries, time-sensitive queries, navigational quer...
Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li...
ICML
2009
IEEE
14 years 6 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
13 years 10 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
ACL
2009
13 years 3 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 5 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims