Unbiased Learning to Rank: On Recent Advances and Practical Applications
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
Abstract
Since its inception, the field of unbiased learning to rank (ULTR) has remained very active and has seen several impactful advancements in recent years. This tutorial provides both an introduction to the core concepts of the field and an overview of recent advancements in its foundations, along with several applications of its methods.
Topics & Concepts
Computer scienceRank (graph theory)Learning to rankData scienceMachine learningRanking (information retrieval)MathematicsCombinatoricsAlgorithms and Data CompressionText and Document Classification TechnologiesMachine Learning and Algorithms