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» UFRGS@CLEF2009: Retrieval by Numbers
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WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 11 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
AIRWEB
2007
Springer
15 years 10 months ago
Measuring Similarity to Detect Qualified Links
The early success of link-based ranking algorithms was predicated on the assumption that links imply merit of the target pages. However, today many links exist for purposes other ...
Xiaoguang Qi, Lan Nie, Brian D. Davison
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
CLEF
2008
Springer
15 years 8 months ago
Assessing the Impact of Thesaurus-Based Expansion Techniques in QA-Centric IR
In this paper, we assess the impact of using thesaurus-based query expansion methods, at the Information Retrieval (IR) stage of a Question Answering (QA) system. We focus on expan...
Luís Sarmento, Jorge Teixeira, Eugén...
ECIR
2010
Springer
15 years 7 months ago
A Case for Automatic System Evaluation
Ranking a set retrieval systems according to their retrieval effectiveness without relying on relevance judgments was first explored by Soboroff et al. [13]. Over the years, a numb...
Claudia Hauff, Djoerd Hiemstra, Leif Azzopardi, Fr...