[CEUR Workshop Proceedings] Vol-791

Copyright © 2011 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.

Context-Aware Recommender Systems 2011

Proceedings of the 3rd Workshop on Context-Aware Recommender Systems

in conjunction with the 5th ACM Conference on Recommender Systems (RecSys 2011)

Chicago, IL, USA, October 23, 2011.

Edited by

Gedas Adomavicius *
Linas Baltrunas **
Tim Hussein +
Francesco Ricci **
Alexander Tuzhilin ++

* University of Minnesota, USA
** Free University of Bozen-Bolzano, Italy
+ University of Duisburg-Essen, Germany
++ New York University, USA

Table of Contents

  1. Preface
    Gedas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin
  2. Top-N recommendations on unpopular items with contextual knowledge
    Paolo Cremonesi, Paolo Garza, Elisa Quintarelli, Roberto Turrin
  3. Model adaptation with Bayesian hierarchical modeling for context-aware recommendation
    Hideki Asoh, Yoichi Motomura, Chihiro Ono
  4. A contextual modeling approach to context-aware recommender systems
    Umberto Panniello, Michele Gorgoglione
  5. Implicit feedback recommendation via implicit-to-explicit ordinal logistic regression mapping
    Denis Parra, Alexandros Karatzoglou, Xavier Amatriain, Idil Yavuz
  6. Hourly traffic prediction of news stories
    Luis Marujo, Miguel Bugalho, Joao P. Neto, Anatole Gershman, Jaime Carbonell
  7. Large scale evaluation of multi-mode recommender system using predicted contexts with mobile phone users
    Takashi Shiraki, Chihiro Ito, Takeo Ohno
  8. Inferring contextual user profiles - improving recommender performance
    Alan Said, Ernesto W. De Luca
  9. Effects of relevant contextual features in the performance of a restaurant recommender system
    Blanca Vargas-Govea, Juan Gabriel Gonzalez-Serna, Rafael Ponce-Medellin

16-Oct-2011: submitted by Tim Hussein
18-Oct-2011: published on CEUR-WS.org