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» Retrieval Status Values in Information Retrieval Evaluation
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ICML
2009
IEEE
16 years 7 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
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
16 years 7 days ago
Investigation into Biomedical Literature Classification Using Support Vector Machines
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
Nalini Polavarapu, Shamkant B. Navathe, Ramprasad ...
ISMIR
2005
Springer
172views Music» more  ISMIR 2005»
16 years 4 days ago
Herding Folksongs
Cataloging a large, multi-media collection of traditional song and drama in preparation for online presentation highlights issues of song identity and access in the context of con...
Robert Young Walser
SIGIR
2009
ACM
16 years 1 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
DGO
2006
136views Education» more  DGO 2006»
15 years 8 months ago
Automated classification of congressional legislation
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Stephen Purpura, Dustin Hillard