Vol-1245
urn:nbn:de:0074-1245-7

Copyright © 2014 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.

CBRecSys 2014
New Trends in Content-based Recommender Systems

Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems
co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014)

Foster City, Silicon Valley, California, USA, October 6, 2014.

Edited by

Toine Bogers ¹
Marijn Koolen ²
Iván Cantador ³

¹ Department of Communication and Psychology, Aalborg University Copenhagen, Denmark
² Institute of Logic, Language and Computation, University of Amsterdam, The Netherlands
³ High Polytechnic School, Universidad Autónoma de Madrid, Spain

Table of Contents

Preface

Semantics-aware Content-based Recommender Systems 1
Pasquale Lops
Discovering Contextual Information from User Reviews for Recommendation Purposes 2-9
Konstantin Bauman, Alexander Tuzhilin
HybridRank: A Hybrid Content-Based Approach To Mobile Game Recommendations 10-13
Anthony Chow, Min-Hui Nicole Foo, Giuseppe Manai
Exploiting FrameNet for Content-Based Book Recommendation 14-21
Orphée De Clercq, Michael Schuhmacher, Simone Paolo Ponzetto, Veronique Hoste
A Hybrid Strategy for Privacy-Preserving Recommendations for Mobile Shopping 22-25
Toon De Pessemier, Kris Vanhecke, Luc Martens
A User-centered Music Recommendation Approach for Daily Activities 26-33
Ricardo Dias, Manuel J. Fonseca, Ricardo Cunha
Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering 34-41
Ignacio Fernández-Tobías, Iván Cantador
A Travel Recommender System for Combining Multiple Travel Regions to a Composite Trip 42-48
Daniel Herzog, Wolfgang Wörndl
Linked Open Data-enabled Strategies for Top-N Recommendations 49-56
Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco De Gemmis, Giovanni Semeraro
Content-Based Cross-Domain Recommendations Using Segmented Models 57-64
Shaghayegh Sahebi, Trevor Walker
Preference Mapping for Automated Recommendation of Product Attributes for Designing Marketing Content 65-68
Moumita Sinha, Rishiraj Saha Roy

Download the Proceedings of CBRecSys 2014 in a single volume.

2014-09-17: submitted by Iván Cantador
2014-09-17: published on CEUR-WS.org |valid HTML5|