Efficiency - Effectiveness Trade-offs in Learning to Rank

This tutorial provides an 'Introduction to Learning to Rank' and focuses on 'Dealing with the Efficiency/Effectiveness trade-off in Web Search'. Moreover, it provides two different hands-on sessions. The tutorial was developed by Claudio Lucchese and Franco Maria Nardini and it was held at the 3rd ACM International Conference on Theory of Information Retrieval (ICTIR) 2017 and at the European Conference on Machine Learning (ECML-PKDD) 2018.

The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it.

If you are interested in this training material, you may contact the author at francomaria.nardini@isti.cnr.it

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Additional Info
Field Value
Availability On-Site
Course Tutorial for Learning To Rank
Keywords Ranking
Keywords Feature Selection
Keywords Open Datasets
Keywords Ranking Algorithm Comparison
Length 83 slides
Lesson number 3
Prerequisites None
Provider Institution HPC Laboratory, ISTI-CNR
Target users Data Scientists
Target users PhD Students
Target users Professionals
Thematic Cluster Text and Social Media Mining [TSMM]
Thematic Cluster Human Mobility Analytics [HMA]
Training material typology Tutorial
Training material typology Other
system:type TrainingMaterial
Management Info
Field Value
Author marco_braghieri
Maintainer BRAGHIERI MARCO
Version 1
Last Updated 8 October 2021, 13:10 (CEST)
Created 29 June 2018, 11:34 (CEST)