| 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|