Vol-1119⫷ Vol-1120 ⫸Vol-1121
urn:nbn:de:0074-1120-9

Copyright © 2013 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.

20DC13 2013
ECML PKDD Discovery Challenge - Recommending Given Names

Proceedings of the ECML PKDD Discovery Challenge - Recommending Given Names
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013 ( ECML PKDD 2013 )

Prague, Czech Republic, September 27, 2013 .

Edited by

Stephan Doerfel *
Andreas Hotho
Robert Jäschke *
Folke Mitzlaff *
Juergen Mueller ***

* University of Kassel , Knowledge and Data Engineering Group, 34121 Kassel, Germany
** University of Würzburg , Data Mining and Information Retrieval Group at LS VI, 97074 Würzburg, Germany
*** L3S Research Center , 30167 Hannover, Germany

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Table of Contents

Preface

Summary of the 15th Discovery Challenge - Recommending Given Names 7-24
Folke Mitzlaff, Stephan Doerfel, Andreas Hotho, Juergen Mueller, Robert Jäschke
A Mixed Hybrid Recommender System for Given Names 25-36
Rafael Glauber, Angelo Loula, João Rocha-Junior
Collaborative Filtering Ensemble for Personalized Name Recommendation 37-48
Bernat Coma-Puig, Ernesto Diaz-Aviles, Wolfgang Nejdl
Nameling Discovery Challenge - Collaborative Neighborhoods 49-60
Dirk Schäfer, Robin Senge
Improving the Recommendation of Given Names by Using Contextual Information 61-72
Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende, Gustavo E. A. P. A. Batista
Similarity-Weighted Association Rules for a Name Recommender System 73-80
Benjamin Letham
Factor Models for Recommending Given Names 81-89
Imannuel Bayer, Steffen Rendle

2014-01-27: submitted by Juergen Mueller
2014-01-27 : published on CEUR-WS.org | valid HTML5 |