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» Listwise approach to learning to rank: theory and algorithm
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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
SIGIR
2008
ACM
13 years 9 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
AIED
2009
Springer
14 years 3 months ago
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck
CIKM
2011
Springer
12 years 9 months ago
Learning to aggregate vertical results into web search results
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...
Jaime Arguello, Fernando Diaz, Jamie Callan
ALT
2003
Springer
14 years 22 days ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann