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Subject:
From:
Werner Geyer <[log in to unmask]>
Reply To:
Werner Geyer <[log in to unmask]>
Date:
Thu, 18 Jul 2013 18:03:08 -0400
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    ** Please forward to anyone who might be interested **
--------------------------------------------------------------------------

                    FINAL CALL FOR PAPERS
                    for the 5th Workshop
                             on

            *Recommender Systems and the Social Web*
                         (RSWeb 2013)

Held in conjunction with ACM RecSys'13 in October in Hong Kong, China
     http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2013/index.shtml

		   NEW SUBMISSION DEADLINE

            *** 1 August, 2013 : Paper submission ***
               29 August, 2013 : Author notification
            29 September, 2013 : Camera-ready papers
               13 October 2013 : Workshop held
--------------------------------------------------------------------------

The exponential growth of the social web poses challenges and new
opportunities for recommender systems. The Social Web has turned
information consumers into active contributors creating massive amounts of
information. Finding relevant and interesting content at the right time and
in the right context is challenging for existing recommender approaches. At
the same time, social systems by their definition encourage interaction
between users and both online content and other users, thus generating new
sources of knowledge for recommender systems. Web 2.0 users explicitly
provide personal information and implicitly express preferences through
their interactions with others and the system (e.g. commenting, friending,
rating, etc.). These various new sources of knowledge can be leveraged to
improve recommendation techniques and develop new strategies which focus on
social recommendation. The Social Web provides huge opportunities for
recommender technology and in turn recommender technologies can play a part
in fuelling the success of the Social Web phenomenon.

The goal of this workshop is to bring together researcher and practitioners
to explore, discuss, and understand challenges and new opportunities for
recommender systems and the Social Web.

TOPICS OF INTEREST
==================
We solicit original contributions in the following areas:

* Social network and folksonomy development: Recommending friends, tags,
bookmarks, blogs, music, communities etc.
* Leveraging models of user behavior on the Social Web for recommendation
* Recommender systems mash-ups, intelligent user interfaces, rich media
recommender systems
* Collaborative knowledge authoring, collective intelligence
* Topic emergence and evolution on the Social Web and their role in
recommendation process
* Recommender applications involving users or groups directly in the
recommendation process
* Exploiting folksonomies, social network information, user interactions,
and communities in the recommendation process
* The role of context in Social Web recommendation
* Trust and reputation aware social recommendations
* Semantic Web recommender systems, use of ontologies or microformats
* Empirical evaluation of social recommender techniques, success and
failure measures
* Case studies and novel fielded social recommender applications
* Economy of community-based systems: Using recommenders to encourage users
to contribute and sustain participation
* Social recommender systems in the enterprise
* Recommendation for groups

We also encourage submissions which relate research results from other
areas to the workshop topics.

WORKSHOP ORGANIZERS
=============================
* Bamshad Mobasher,
  School of Computing, DePaul University, USA
* Dietmar Jannach,
  Department of Computer Science, TU Dortmund, Germany
* Werner Geyer,
  IBM Research, Cambridge, MA, USA
* Jill Freyne,
  CSIRO ICT Center, Australia
* Andreas Hotho,
  Universität Würzburg, Germany
* Sarabjot Singh Anand,
  Algorithmic Insight, India
* Ido Guy,
  IBM Research, Haifa, Israel


SUBMISSIONS AND STYLE
=====================

We solicit short and long papers as well as research demos on all aspects
of recommender systems in the Social Web. Papers should be formatted
according to the style guide of RecSys'13.

Long papers present original research work and can be of up to 8 pages in
length. Short papers report on work in progress and can have up to 4 pages.
Presenters of demo systems are asked to submit short papers describing
their system.

Papers should be submitted in PDF format by using EasyChair:
https://www.easychair.org/conferences?conf=rsweb2013
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.

At least one author of each accepted paper must register for the workshop.

Information about registration is provided at the RecSys 2013 Web page:
http://recsys.acm.org/2013/

Important Dates
===============
* 1 August, 2013			: Paper submissions due
* 29 August, 2013		: Author notification
* 29 September, 2013		: Camera-ready papers due
* 13 October, 2013		: Workshop held

Question and inquiries: [log in to unmask]
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