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-Universität Klagenfurt, Austria

** Important Dates **

Submission of Full Papers: March 23rd, 2012
Notification of Acceptance: May 18th, 2012
Camera-ready Copies and Registration of Participation: May 25th, 2012
Workshop: between September 3rd and 7th, 2012

**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 recsysmeetdb2012@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 2012 workshops.