- From: Tommaso Di Noia <t.dinoia@poliba.it>
- Date: Tue, 30 Jul 2013 15:58:17 +0200
- To: Tommaso Di Noia <t.dinoia@poliba.it>
Apologies for possible multiple posts
============================
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
----------
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
-------
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
---------------
Submission due: August 1, 2013
Author notification: September 10, 2013
Camera-ready version due: September 17, 2013
Workshop date: October 13, 2013
ORGANIZING COMMITTEE
--------------------
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
PROGRAM COMMITTEE
-----------------
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
-----------------
e-mail: sersy2013@gmail.com
Web page: http://sisinflab.poliba.it/sersy2013/
twitter: @sersy2013
linkedin: http://tinyurl.com/sersy2013
Received on Tuesday, 30 July 2013 13:58:54 UTC