First International Workshop on
Recommender Systems and Personalized Retrieval
in conjunction with

August 4, 2008 VSB- Technical University of Ostrava, Czech Republic

The First IEEE International Conference on the Application of Digital Information and Web Technologies (ICADIWT 2008)

August 4, 2008 VSB- Technical University of Ostrava, Czech Republic

Jointly Organized by:

  • Department of Informatics, University of Bari
  • Free University of Bolzano



Recommender systems are applications that take input directly or indirectly from users and, based on user needs, preferences and usage patterns, provide personalized products and services recommendations, easing the information search and decision processes. Recommender systems have been revolutionizing the way shoppers and information seekers find what they want, because they effectively prune large information spaces and help users in selecting items that best meet their needs and tastes.

Recommender systems strongly rely on the use of various tools and algorithms for learning how to rank items or predict the user evaluation on items.

Information retrieval systems, on the other hand, are also trying to address similar filtering and ranking problems for information items, such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting the individual needs and preferences of users. Machine learning is more and more used in information retrieval for learning from implicit and explicit user behavior (links visited or time spent on pages), hence there is a lot of overlap (goals and techniques) between these two areas. Recommender systems research should better focus on the interaction between these research areas in order to provide more personalized, robust, general, and proactive retrieval strategies.

The main goal of this workshop is to provide a forum where current researchers and practitioners can meet and discuss the latest ideas and issues on recommender systems and information retrieval research.



The workshop will cover theoretical, practical and implementation issues on recommender systems and personalized retrieval. The following is a partial list of topics of interests:

  • Algorithms for supporting recommendation
  • Recommender systems in real-world applications
  • Personalized information retrieval
  • Personalized product search tools
  • Learning to rank
  • Rank integration
  • Hybrid recommender systems
  • Web 2.0 technologies for recommender systems
  • Ontologies and semantic web technologies for recommender systems
  • Folksonomies and recommender systems
  • Evaluating recommender systems
  • Trust in recommender systems
  • Learning user models for recommender systems
  • Assistive technologies in recommender systems for impaired people
  • Serendipity in recommender systems



We encourage submissions of technical papers in any of the topics of interest of the workshop (but not limited to them) from researchers and practitioners in academia, industry, government, and consulting. Accepted formats are Postscript and PDF. Papers must be submitted by e-mail at the following address:

Submitted papers will be peer-reviewed and selected on the basis of these reviews. Accepted papers will be presented at the workshop.

Authors are invited to submit their manuscript in the IEEE style. Any further information concerning typesetting can be obtained directly from the following address:

Format requirements for submissions of papers are maximum 6 pages, including illustrations and bibliography.



June, 6  2008         Paper submission
July, 1  2008         Acceptance/rejection notification
July, 18 2008        Camera-ready



Francesco Ricci, Free University of Bolzano,

Giovanni Semeraro, Department of Informatics, University of Bari,

Marco de Gemmis, Department of Informatics, University of Bari,

Pasquale Lops, Department of Informatics, University of Bari,


PROGRAM COMMITTEE (to be completed)

  • Alexander Felfernig, University Klagenfurt, Austria
  • Andreas Hotho, University of Kassel, Germany
  • Bhaskar Mehta, Google Inc.
  • Claire Nedellec, INRA, France
  • Claudio Carpineto, Fondazione Ugo Bordoni, Italy
  • Cosimo Palmisano, Fiat Group SpA, Italy
  • Dietmar Jannach, Dortmund University of Technology, Germany
  • Dunja Mladenic, J. Stefan Institute, Slovenia
  • Eloisa Vargiu, University of Cagliari, Italy
  • Francesco Ricci, Free University of Bolzano, Italy
  • Georgia Koutrika, Stanford University
  • Giovanni Semeraro, University of Bari, Italy
  • Giuliano Armano, University of Cagliari, Italy
  • Liliana Ardissono, University of Torino, Italy
  • Marco de Gemmis, University of Bari, Italy
  • Marko Grobelnik, J. Stefan Institute, Slovenia
  • Michele Gorgoglione, Politecnico di Bari, Italy
  • Olfa Nasraoui, University of Louisville, USA
  • Paolo Avesani, Fondazione Bruno Kessler, Italy
  • Pasquale Lops, University of Bari, Italy
  • Roberto Pirrone, University of Palermo
  • Sarabjot Singh Anand, University of Warwick, UK
  • Stuart E. Middleton, University of Southampton, UK



If you have further questions please contact one of the organizers or send an e-mail to: