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81
Voted
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
70
Voted
WWW
2010
ACM
15 years 4 months ago
LCA-based selection for XML document collections
In this paper, we address the problem of database selection for XML document collections, that is, given a set of collections and a user query, how to rank the collections based o...
Georgia Koloniari, Evaggelia Pitoura
WWW
2011
ACM
14 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
80
Voted
ECIR
2008
Springer
14 years 11 months ago
Utilizing Passage-Based Language Models for Document Retrieval
Abstract. We show that several previously proposed passage-based document ranking principles, along with some new ones, can be derived from the same probabilistic model. We use lan...
Michael Bendersky, Oren Kurland
85
Voted
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...