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» Maximum Margin Ranking Algorithms for Information Retrieval
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MM
1997
ACM
133views Multimedia» more  MM 1997»
13 years 11 months ago
Supporting Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimediaobjects, we are developing the Multimedia Analysis and Retrieval System (MARS) in o...
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sha...
IR
2010
13 years 6 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
CIKM
2009
Springer
14 years 2 months ago
Relying on topic subsets for system ranking estimation
Ranking a number of retrieval systems according to their retrieval effectiveness without relying on costly relevance judgments was first explored by Soboroff et al [6]. Over th...
Claudia Hauff, Djoerd Hiemstra, Franciska de Jong,...
SIGIR
1999
ACM
13 years 12 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the...
David R. H. Miller, Tim Leek, Richard M. Schwartz
WWW
2005
ACM
14 years 8 months ago
Predictive ranking: a novel page ranking approach by estimating the web structure
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available...
Haixuan Yang, Irwin King, Michael R. Lyu