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RSWEB 2010 : 2nd Workshop on Recommender Systems and the Social Web


When Sep 26, 2010 - Sep 26, 2010
Where Barcelona, Spain
Submission Deadline Jul 1, 2010
Notification Due Jul 22, 2010
Final Version Due Aug 17, 2010
Categories    recommender systems   social networks

Call For Papers



2nd Workshop on Recommender Systems & the Social Web
in conjunction with ACM RecSys'10

Barcelona, Spain, September 26, 2010

Submission Deadline: July 1, 2010

The exponential growth of the Social Web both poses challenges, and
presents opportunities for Recommender System Research. The Social
Web has turned information consumers into active contributors who
generate large volumes of rapidly changing online data. Recommender
Systems strive to identify relevant content for users at the right
time and in the right context but achieving this goal has become more
difficult, in part due to the volume and nature of information
contributed through the Social Web.

The emergence of the Social Web marked a change in Web users? attitude
to online privacy and sharing. Social media systems encourage users
to implicitly and explicitly provide large volumes of information
which previously they would have been reluctant to share. This
information includes personal details such as location, age, and
interests, friendship networks, bookmarks and tags, opinion and
preferences which can be captured explicitly or more often by monitoring
user interaction with the systems (e.g. commenting, friending, rating,
tagging etc).

These new sources of knowledge can be leveraged by Recommender Systems
to improve existing techniques and develop new strategies which focus
on social recommendation. In turn recommender technologies can play a
huge part in fuelling the success of the Social Web phenomenon by
reducing the information overload problem facing social media users.

The goal of this workshop is to bring together researchers and
practitioners to explore, discuss, and understand challenges and
new opportunities for Recommender Systems and the Social Web. We
solicit original contributions in the following areas:

* Case studies and novel fielded social recommender applications
* Economy of community-based systems: Using recommenders to encourage
users to contribute and sustain participation
* Social network and folksonomy development: Recommending friends,
tags, bookmarks, blogs, music, communities etc.
* Recommender system mash-ups, Web 2.0 user interfaces, rich media
recommender systems
* Recommender applications involving users and groups directly in
the recommendation process
* Exploiting folksonomies, social network information, interaction user
context and communities or groups for recommendations
* Trust and reputation aware social recommendations
* Semantic Web recommender systems, use of ontologies and microformats
* Empirical evaluation of social recommender techniques, success and
failure measures
* Social recommender systems in the enterprise


* July 1, 2010: Paper/position statement Submission Deadline
* July 22, 2010: Acceptance Notification
* August 17, 2010: Camera-ready workshop abstract due
* September 26, 2010: Workshop held

Papers should be submitted in PDF format via EasyChair submission

If you have used easychair before, you may use your existing
username and password. Otherwise please create a new easychair account.

The formatting guidelines of the ACM'10 Recommender Systems apply
(see Paper selection
will be based on a peer review process; there will be no blind review
process - author names and affiliations should be included in the paper.
Paper categories:
* Long papers (up to 8 pages) describing original research results
or case studies.
* Short papers (up to 4 pages) describing preliminary results or
* System Demonstrations (up to 4 pages): Workshop participants can also
demonstrate novel systems. Demo papers should describe the research and
the demonstration system itself.

At least one author of each accepted paper must register for the
workshop. Information about registration is provided at the RecSys
2010 Web page:

Accepted papers will be published as a volume at CEUR Workshop

Werner Geyer, IBM Research, Cambridge, MA, USA
Jill Freyne, CSIRO, TasICT Centre, Australia
Bamshad Mobasher, DePaul University, USA
Sarabjot Singh Anand, University of Warwick, UK
Casey Dugan, IBM Research, Cambridge, MA, USA

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