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» Regularizing query-based retrieval scores
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WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
14 years 2 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
ICWL
2004
Springer
14 years 23 days ago
PKUSpace: A Collaborative Platform for Scientific Researching
This Paper introduces PKUSpace - a collaborative platform for scientific learning and researching. Supported by efficient automated metadata extraction and powerful text classifica...
Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Ying Fen...
ICML
2009
IEEE
14 years 8 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
SIGKDD
2010
146views more  SIGKDD 2010»
13 years 2 months ago
Latent semantic indexing (LSI) fails for TREC collections
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Avinash Atreya, Charles Elkan
TREC
2001
13 years 8 months ago
The QUANTUM Question Answering System
We participated to the TREC-X QA main task and list task with a new system named QUANTUM, which analyzes questions with shallow parsing techniques and regular expressions. Instead...
Luc Plamondon, Guy Lapalme, Leila Kosseim