| 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|