3rd Workshop on

Recommender Systems meet Databases

in conjunction with the 24th DEXA Conference, 26th - 30th August 2013,

 Prague, Czech Republic

Call for Papers

Recommender systems (RS) support users in personalized access to large collections of data. From a technical perspective, RS have their origins in different fields such as Information Filtering and Data Mining and they are built using a broad array of statistical methods and algorithms. E-Commerce and consumer decision support applications have been the traditional application domains of these types of systems.

However, the ever-increasing plethora of information supply due to cheap storage, the web revolution and user generated content applications, fuels the need for user-centric and context-aware information access and presentation in many more database application domains. The aim of this workshop is therefore to provide a forum for discussion and presentation of latest results that are on the intersection of database and recommender systems research. Relevant topics for submissions include, but are not limited to:

·        Preference and context modeling in Databases

User and Community Modeling

Reputation and Trust Modeling

Context Modeling

·        New Database Architectures integrating Recommender Systems

Rank integration

Resource recommendations

Learning to rank

Personal and social aspects in databases

Query recommendations

Personalized privacy preserving

New data and query models involving users and contexts

Scalability issues of databases and recommender systems

·        Innovative applications of Recommender Systems in Databases

Preference elicitation from the Deep Web

Filtering based on data harvested from the Deep Web

Content-based recommendations from BLOBs

Reputation and trust management

Social recommender systems

Visual Analytics for Recommender Systems

·        Semantics in Recommender Systems and Databases

Semantic Indexing and Recommender Systems

Semantic Annotation and Recommender Systems

Semantic Deep Web and Recommender Systems

Annotation and Indexing of the Deep Web for Recommender Systems

Distributed Semantic Indexing for Recommender Systems

Filtering of the Deep Web

·        Evaluation methodologies and approaches

User-centric evaluation

Accuracy vs. error metrics

Evaluating for novelty, diversity and serendipity


Workshop Organizers:    

Giovanni Semeraro

Department of Computer Science, University of Bari “Aldo Moro”, Italy

E-mail: semeraro@di.uniba.it

Marco de Gemmis

Department of Computer Science, University of Bari "Aldo Moro", Italy

E-mail: degemmis@di.uniba.it

Pasquale Lops

Department of Computer Science, University of Bari "Aldo Moro", Italy

E-mail: lops@di.uniba.it

Markus Zanker

Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt, Austria

E-mail: markus.zanker@aau.at


Program Committee:

Tommaso Di Noia, Technical University of Bari, Italy

Johann Gamper, Free University of Bozen, Italy

Fabio Gasparetti, Roma Tre University, Italy

Michele Gorgoglione, Polytechnic of Bari, Italy

Leo Iaquinta, University of Milano-Bicocca, Italy

Dietmar Jannach, TU Dortmund, Germany

Christian Koncilia, Alpen-Adria-Universität Klagenfurt, Austria

Andrea Maurino, University of Milano-Bicocca, Italy

Cataldo Musto, University of Bari Aldo Moro, Italy
Fedelucio Narducci, University of Milano-Bicocca, Italy

Matteo Palmonari, Università di Milano Bicocca, Italy

Umberto Panniello, Polytechnic of Bari, Italy

Giuseppe Sansonetti, University Roma Tre, Italy

Letizia Tanca, Politecnico di Milano, Italy

Eufemia Tinelli,  Politecnico di Bari, Italy


Submission Details

Authors are invited to submit original, unpublished work that is not being considered in another publication venue. Manuscripts will be limited to 5 two-column pages (IEEE Proceeding style) including figures and references. Please follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers.  Authors of accepted papers are requested to sign the IEEE copyright form. The guidelines for authors can be found at Conference Publishing Services (CPS) - Proceedings Author Forms. Electronic submission of manuscripts (in PDF, postscript, or word format) is required via the ConfDriver System of DEXA. For any questions please contact the organizers at recsysmeetdb2013@ifit.uni-klu.ac.at.

At least one author of each accepted paper is required to attend the conference and present the paper. Papers accepted for presentation will be published by Conference Publishing Services (CPS) as proceedings of the DEXA 2013 workshops.


Important Dates

Submission of full papers: April 29, 2013 – Extended Deadline

Notification of acceptance: May 20, 2013

Camera-ready copies due: June 10, 2013