Vol-1673
urn:nbn:de:0074-1673-4

Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

CBRecSys 2016
New Trends in Content-Based Recommender Systems

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems
co-located with ACM Conference on Recommender Systems (RecSys 2016)

Boston, MA, USA, September 16, 2016.

Edited by

Toine Bogers (1)
Marijn Koolen (2)
Cataldo Musto (3)
Pasquale Lops (3)
Giovanni Semeraro (3)

(1) Aalborg University Copenhagen
(2) Netherlands Institute of Sound and Vision
(3) University of Bari "Aldo Moro", Italy

Table of Contents

Preface

Invited Presentations

From Reviews to Recommendations 1
Barry Smyth
Context v. Content: The Role of Semantic and Social Knowledge in Context-aware Recommendation 2
Bamshad Mobasher

Accepted Papers

Combining Content-based and Collaborative Filtering for Personalized Sports News Recommendations 3-10
Philip Lenhart, Daniel Herzog
News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters 11-14
Parisa Lak, Ceni Babaoglu, Ayse Basar Bener, Pawel Pralat
Using Visual Features and Latent Factors for Movie Recommendation 15-18
Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews 19-22
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
RDF Graph Embeddings for Content-based Recommender Systems 23-30
Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato De Leone, Heiko Paulheim
ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data 31-38
Iacopo Vagliano, Cristhian Figueroa, Oscar Rodríguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio
Quote Recommendation for Dialogs and Writings 39-42
Yeonchan Ahn, Hanbit Lee, Heesik Jeon, Seungdo Ha, Sang-Goo Lee
Learning-to-Rank in Research Paper CBF recommendation: Leveraging Irrelevant Papers 43-46
Anas Alzoghbi, Victor A. Arrascue Ayala, Peter M. Fischer, Georg Lausen
Recurrent Neural Networks for Customer Purchase Prediction on Twitter 47-50
Mandy Korpusik, Shigeyuki Sakaki, Francine Chen, Yan-Ying Chen

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2016-08-31: submitted by Pasquale Lops, metadata incl. bibliographic data published under Creative Commons CC0
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