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» Ranking refinement and its application to information retrie...
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KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 8 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
CIKM
2009
Springer
14 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
IRAL
2000
ACM
13 years 12 months ago
Construction of a Chinese-English WordNet and its application to CLIR
This paper integrates five linguistic resources, including Cilin, a Chinese-English dictionary, ASBC corpus, SemCor, and WordNet, to construct a Chinese-English WordNet. The resul...
Hsin-Hsi Chen, Chi-Ching Lin, Wen-Cheng Lin
SIGIR
2004
ACM
14 years 1 months ago
Configurable indexing and ranking for XML information retrieval
Indexing and ranking are two key factors for efficient and effective XML information retrieval. Inappropriate indexing may result in false negatives and false positives, and impro...
Shaorong Liu, Qinghua Zou, Wesley W. Chu
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne