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

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 
kinds 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, 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 and implement 
reasoning mechanisms that can support and improve the recommendation 

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 solved merely 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 
- 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 
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: TBA
Workshop date: TBA

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


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

Received on Friday, 21 June 2013 15:14:54 UTC