Vol-2007
urn:nbn:de:0074-2007-7

Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

LEARNER 2017
LEARning Next gEneration Rankers

Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers
co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017)

Amsterdam, The Netherlands, October 1, 2017.

Edited by

Nicola Ferro *
Claudio Lucchese **
Maria Maistro *
Raffaele Perego ***

* University of Padua, Department of Information Engineering, Via G. Gradenigo 6/B, 35131 Padova, Italy
** Ca' Foscari University of Venice, Department of Environmental Sciences, Informatics and Statistics, Dorsoduro 3246, 30123 Venezia, Italy
*** National Research Council, Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI), Via G. Moruzzi 1, 56126 Pisa, Italy

Table of Contents

Preface

Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego

Keynote

Ranking Learning-to-Rank Methods
Djoerd Hiemstra, Niek Tax, Sander Bockting

Full Papers

Online Learning of a Ranking Formula for Revenue and Advertiser ROI Optimization
Or Levi
Query-Level Ranker Specialization
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search
Arpita Das, Saurabh Shrivastava, Manoj Chinnakotla, Prateek Agrawal, Sandeep Sahoo
A Software Library for Conducting Large Scale Experiments on Learning to Rank Algorithms
Nicola Ferro, Paolo Picello, Gianmaria Silvello

Short Parpers

The Impact of Negative Samples on Learning to Rank
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Multileaving for Online Evaluation of Rankers
Brian Brost
Learning to Rank Target Types for Entity-Bearing Queries
Darío Garigliotti, Krisztian Balog

2017-11-20: submitted by Maria Maistro, metadata incl. bibliographic data published under Creative Commons CC0
2017-11-25: published on CEUR-WS.org |valid HTML5|