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RSmeetDBs 2011 : Recommender Systems meet Databases

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Link: http://www.configworks.com/dexa2011/CFP_DEXA_RecSysmeetDB2011.htm
 
When Aug 29, 2011 - Sep 2, 2011
Where Toulouse
Submission Deadline Apr 26, 2011
Notification Due May 15, 2011
Final Version Due May 25, 2011
Categories    recommender systems   databases
 

Call For Papers

============================ CALL FOR PAPERS ============================

Workshop on

Recommender Systems meet Databases at DEXA 2011

http://www.configworks.com/dexa2011/CFP_DEXA_RecSysmeetDB2011.htm

Toulouse, France
August 29 - September 2, 2011

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IMPORTANT DATES

Submission of Full Papers: April 26, 2011 (extended)
Notification of Acceptance: April 26, 2011
Camera-ready Copies and Registration of Participation: May 23, 2011
Workshop: between August 29 and September 2, 2011

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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 - University of Bari "Aldo Moro", Italy
* Pasquale Lops - University of Bari "Aldo Moro", Italy
* Markus Zanker - Alpen-Adria-Universität Klagenfurt, Austria


PROGRAM COMMITTEE (to be extended):

* Gediminas Adomavicius (University of Minnesota)
* Sarabjot Singh Anand (University of Warwick, UK)
* Paolo Cremonesi (Politecnico di Milano, Italy)
* Claus Dabringer (Alpen-Adria-Universität Klagenfurt)
* Marco de Gemmis (University of Bari "Aldo Moro", Italy)
* Dietmar Jannach (Technical University Dortmund, Germany)
* Georgia Koutrika (IBM Almaden Research Center, USA)
* Gabriella Pasi (Universita di Milano Bicocca, Italy)
* Francesco Ricci (Free University of Bozen-Bolzano, Italy)
* Kostyantyn Shchekotykhin (Alpen-Adria-Universität Klagenfurt)
* Letizia Tanca (Politecnico di Milano, Italy)
* Eufemia Tinelli (University of Bari “Aldo Moro”, Italy)
* Alexander Tuzhilin (New York University, USA)


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 recsysmeetdb2011@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 2011 workshops.

Related Resources

UMUAI FatRec 2019   UMUAI Special issue on: Fair, Accountable, and Transparent Recommender Systems
JoL 2018   International Journal of Law
IROS 2019   Intelligent RObots and Systems
RecNLP 2019   The AAAI 2019 Workshop on Recommender Systems and Natural Language Processing
ER 2019   38th International Conference on Conceptual Modeling
SIPRO 2019   5th International Conference on Signal and Image Processing
RecSys 2018   Conference on Recommender Systems
UMAP 2019   User Modeling, Adaptation, and Personalization
DEBS 2019   13th ACM International Conference on Distributed and Event-based Systems
DMDB 2019   6th International Conference on Data Mining and Database