Vol-1968
urn:nbn:de:0074-1968-5

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.

EEML 2017

Experimental Economics and Machine Learning

Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning

Dresden, Germany, September 17-18, 2017.

Edited by

Rustam Tagiew *
Kai Heinrich
Dmitry I. Ignatov *
Andreas Hilbert
Radhakrishnan Delhibabu **

* Ontonovation, Dresden, Germany
** Business Intelligence Research, Faculty of Business and Economics, Technische Universität, Dresden, Germany
*** Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia
**** Institute of Information Technology and Information Systems, Kazan Federal University, Russia

Table of Contents

Preface

Keynote Talk

Deep Learning and Economical Applications 1
Kai Heinrich

Regular Papers

Predicting Psychology Attributes of a Social Network User 2-8
Rustem M. Khayrullin, Ilya Makarov, Leonid E. Zhukov
Combination of Content-Based User Profiling and Local Collective Embeddings for Job Recommendation 9-17
Vasily Leksin, Andrey Ostapets, Mikhail Kamenshikov, Dmitry Khodakov, Vasily Rubtsov
Sociality is Not Lost with Monetary Transactions within Social Groups 18-30
Evgeniya Lukinova, Tatiana Babkina, Anna Sedush, Ivan Menshikov, Olga Menshikova, Mikhail Myagkov
Black-Box Classification Techniques for Demographic Sequences: from Customised SVM to RNN 31-40
Anna Muratova, Pavel Sushko, Thomas H. Espy
Do Women Socialize Better? Evidence from a Study on Sociality Effects on Gender Differences in Cooperative Behavior 41-51
Anastasia Peshkovskaya, Mikhail Myagkov, Tatiana Babkina, Evgeniya Lukinova
Behavior Mining in h-index Ranking Game 52-61
Rustam Tagiew, Dmitry I. Ignatov

Abstracts

Empirical Evaluation of Neural Networks on Stocks of Pakistan Stock Exchange 62
Ali Abdullah, Ambreen Hanif, Noman Javed

Full Proceedings

2017-10-28: submitted by Dmitry Ignatov, metadata incl. bibliographic data published under Creative Commons CC0
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