[DL] [CFP] SeRSy @ RecSys 2013 - 2nd International Workshop on on Recommender Systems meet Big Data & Semantic Technologies

[Tommaso Di Noia]

Apologies for possible multiple posts

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CALL FOR PAPERS
============================
                  2nd International Workshop on
Recommender Systems meet Big Data & Semantic Technologies - SeRSy 2013
    in conjunction with RecSys 2013, Hong Kong, October 12-16, 2013

            http://recsys.acm.org/recsys13/sersy/

            http://sisinflab.poliba.it/sersy2013/

MOTIVATION
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Recommendation techniques generally rely on data referring to three 
types of objects: users, items and their relations. The widespread 
success of Semantic Web techniques, creating a Web of interoperable and 
machine readable data, offers novel strategies to represent data that 
might improve the current state of the art of recommender systems, in 
order to move towards a new generation of recommender systems which 
fully understand the items they deal with.

Indeed, more and more semantic data are published following the Linked 
Data principles, that enable to set up links between objects in 
different data sources, by connecting information in a single global 
data space - the Web of Data. Today, the Web of Data includes different 
types of knowledge represented in a homogeneous form - sedimentary one 
(encyclopedic, cultural, linguistic, common-sense) and real-time one 
(news, data streams). This data might be useful to interlink diverse 
information about users, items, and their relations, as well as to 
implement reasoning mechanisms that can support and improve the 
recommendation process.

The challenge is to investigate whether and how this large amount of 
wide-coverage and linked semantic knowledge can significantly improve 
complex search and filtering tasks that cannot be merely solved through 
a straightforward matching of queries (or user profiles) and items. Such 
tasks involve finding information from large document collections, 
categorizing and understanding that information, and producing some 
output, such as an actionable decision. Examples of such tasks include 
understanding a health problem in order to make a medical decision, or 
simply deciding which laptop to buy. Recommender systems support users 
exactly in those complex tasks.

TOPICS
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Topics of interest include (but are not limited to):


- Recommendation approaches exploiting Big Data and Semantic technologies
- Linked Data for Recommender Systems
- Ontology-based recommendation algorithms
- Reasoning with Big Data
- Discovery of relevant Linked Data sources for recommendation algorithms
- Linking, aggregating, intertwining and mining Linked Data for 
recommender systems
- Linked Data in new Recommender Systems architectures
- Semantic technologies for Cross-lingual and cross-domain recommender 
systems
- Semantic technologies for improving transparency and explanations
- Big datasets for the evaluation
- Evaluation methodologies for real time personalization in big datasets
- Semantic technologies for improving novelty, diversity and serendipity


SUBMISSION
-----------------------
We welcome work at all stages of development: papers can describe 
applied systems, empirical results or theoretically grounded positions.

Accepted papers will be published as CEUR workshop proceedings 
(http://ceur-ws.org).
Based on the quality of accepted papers we are planning to schedule a 
special issue of a top-level journal in 2013.

* Full papers (5-6 pages)
* Short papers (2-3 pages)
* Demos (1-2 pages for description)

Papers should be formatted according to the general RecSys2013 
submission guidelines. Accepted format is PDF.

Please submit your paper via EasyChair at the following URL:

https://www.easychair.org/conferences/?conf=sersy2013

You need to open a personal account upon the first login, if you do not 
have one.


IMPORTANT DATES
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Submission due: July 22, 2013
Author notification: August 23, 2013
Camera-ready version due: August 30, 2013
Workshop date: October 13, 2013

ORGANIZING COMMITTEE
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Marco de Gemmis - University of Bari Aldo Moro, Italy
Tommaso Di Noia - Politecnico of Bari, Italy
Ora Lassila - Nokia Research Center, Cambridge, U.S.
Pasquale Lops - University of Bari Aldo Moro, Italy
Thomas Lukasiewicz - University of Oxford, UK
Giovanni Semeraro - University of Bari Aldo Moro, Italy

PROGRAM COMMITTEE
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Alejandro Bellogin, Centrum Wiskunde & Informatica, Netherlands
Marco Brambilla, Politecnico di Milano
Iván Cantador, Universidad Autónoma de Madrid
Bettina Fazzinga, DEIS - University of Calabria
Conor Hayes, Digital Enterprise Research Institute
Leo Iaquinta, University of Milano-Bicocca
Hasan Jamil, University of Idaho
Roberto Mirizzi, Hewlett-Packard Laboratories
Cataldo Musto, University of Bari
Fedelucio Narducci, University of Milano-Bicocca
Vito Claudio Ostuni, Politecnico di Bari
Alexandre Passant, seevl.net
Gerardo Simari, University of Oxford
Raphael Troncy, EURECOM
Markus Zanker, Alpen-Adria-Universitaet Klagenfurt

CONTACT
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e-mail: sersy2013 at gmail.com
Web page: http://sisinflab.poliba.it/sersy2013/
twitter: @sersy2013
linkedin: http://tinyurl.com/sersy2013