Efficiency - Effectiveness Trade-offs in Learning to Rank - Items

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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 [email protected] and we will immediately remove it.

If you are interested in this training material, you may contact the author at [email protected]

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Introduction to Learning to Rank PDF

Lecture 1
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Dealing with the Efficiency/Effectiveness ...PDF

Lecture 2
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Hands-on Session 1 python

Software, data and publicly available tools Traversing Regression Forests,...
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Hands-on Session 2 python

Training models, Pruning strategies, Efficient scoring
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Publicly available Learning to Rank DatasetsPDF

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Istella Learning to Rank datasetZIP

Istella LETOR full • 33,018 queries • 220 features per query-document pair •...
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http://data.d4science.org/ctlg/ResourceCatalogue/efficiency_-_effectiveness_trade-offs_in_learning_to_rank

Additional Info

Field	Value
Availability	On-Site
Course	Tutorial for Learning To Rank
Keywords	Ranking Algorithm Comparison
Keywords	Open Datasets
Keywords	Feature Selection
Keywords	Ranking
Length	83 slides
Lesson number	3
Prerequisites	None
Provider Institution	HPC Laboratory, ISTI-CNR
Target users	Professionals
Target users	PhD Students
Target users	Data Scientists
Thematic Cluster	Human Mobility Analytics [HMA]
Thematic Cluster	Text and Social Media Mining [TSMM]
Training material typology	Other
Training material typology	Tutorial
system:type	TrainingMaterial

Management Info

Field	Value
Author	marco_braghieri
Maintainer	BRAGHIERI MARCO
Version	1
Last Updated	14 October 2021, 14:15 (CEST)
Created	6 September 2018, 14:39 (CEST)