55 search results - page 5 / 11 » An Unsupervised Learning Algorithm for Rank Aggregation |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
ICIP
2003
IEEE
14 years 8 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
SIGIR
2011
ACM
12 years 9 months ago
2011
ACM
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...