Vol-1541⫷ Vol-1542 ⫸Vol-1543
urn:nbn:de:0074-1542-7

Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

INRA 2015
News Recommendation and Analytics

Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015)
co-located with 9th ACM Conference on Recommender Systems ( RecSys 2015 )

Vienna, Austria, September 20, 2015 .

Edited by

Jon Atle Gulla *
Bei Yu
Ozlem Ozgobek *
Nafiseh Shabib *

* Norwegian University of Science and Technology (NTNU) , Department of Computer and Information Science, Norway
** Syracuse University , School of Information Studies, USA
*** Balikesir University , Computer Engineering Department, Turkey

Table of Contents

Preface

Introduction

3rd International Workshop on News Recommendation and Analytics (INRA 2015) 4
Jon Atle Gulla , Bei Yu , Ozlem Ozgobek , Nafiseh Shabib

Workshop Papers

Predicting User-specific Temporal Retweet Count Based on Network and Content Information 6-13
Balint Daroczy , Robert Palovics , Vilmos Wieszner , Richard Farkas , Andras A. Benczur
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations 14-19
Toon De Pessemier , Sam Leroux , Kris Vanhecke , Luc Martens
Survey of User Profiling in News Recommender Systems 20-26
Mahboobeh Harandi , Jon Atle Gulla
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning 27-32
Jung Woo Ha , Dongyeop Kang , Hyuna Pyo , Jeonghee Kim
Context-Aware User-Driven News Recommendation 33-36
Jon Espen Ingvaldsen , Ozlem Ozgobek , Jon Atle Gulla

2016-01-07: submitted by Ozlem Ozgobek, metadata incl. bibliographic data published under Creative Commons CC0
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