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

Thomas Lukasiewicz lukasiew at gmail.com
Fri Jul 12 22:29:39 UTC 2013

Apologies for possible multiple posts
                 2nd International Workshop on  
Recommender Systems meet Big Data & Semantic Technologies - SeRSy 2013
   in conjunction with RecSys 2013, Hong Kong, October 12-16, 2013
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 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
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:
You need to open a personal account upon the first login, if you do not have one.
Submission due: July 22, 2013
Author notification: August 23, 2013
Camera-ready version due: August 30, 2013
Workshop date: October 13, 2013
Marco de Gemmis - University of Bari Aldo Moro, Italy
Tommaso Di Noia - Polytechnic University of Bari, Italy
Ora Lassila - Nokia Location & Commerce, Burlington, MA, US
Pasquale Lops - University of Bari Aldo Moro, Italy
Thomas Lukasiewicz - University of Oxford, UK
Giovanni Semeraro - University of Bari Aldo Moro, Italy
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
e-mail: sersy2013 at gmail.com
Web page: http://sisinflab.poliba.it/sersy2013/
twitter: @sersy2013
linkedin: http://tinyurl.com/sersy2013

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