*** 3rd Workshop on Recommender Systems meet Databases ***

in conjunction with the 24th DEXA Conference (http://www.dexa.org/), 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
Marco de Gemmis
Department of Computer Science, University of Bari "Aldo Moro", Italy
Pasquale Lops
Department of Computer Science, University of Bari "Aldo Moro", Italy
Markus Zanker
Institute of Applied Informatics, Alpen-Adria-Universit?t Klagenfurt, Austria

** Important Dates **

Submission of Full Papers: April 29th, 2013 (Extended deadline)
Notification of Acceptance: May 20th, 2013 Camera-ready Copies and
Registration of Participation: June 10th, 2013 Workshop: between
August 26th and 30th, 2013

**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 IEEE Conference
Publishing Services - 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 IEEE
Computer Society Press as proceedings of the DEXA 2013 workshops.