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RSWeb 2011 : 3rd Workshop on Recommender Systems and the Social Web


When Oct 23, 2011 - Oct 23, 2011
Where Chicago,IL,USA
Submission Deadline Aug 1, 2011
Notification Due Aug 19, 2011
Final Version Due Sep 12, 2011
Categories    recommender   social web   web 2.0   folksonomy

Call For Papers


for the 3rd Workshop

*Recommender Systems and the Social Web*
(RSWeb 2011)

Held in conjunction with ACM RecSys’11 on 23rd October in Chicago,IL,USA

***1 August, 2011: Paper submission***
19 August, 2011: Author notification
12 September, 2011: Camera-ready papers

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.

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 systems mash-ups, Web 2.0 user interfaces,
rich media recommender systems
* Collaborative knowledge authoring, collective intelligence
* Recommender applications involving users or 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 or microformats
* Empirical evaluation of social recommender techniques, success
and failure measures
* Social recommender systems in the enterprise

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

* Jill Freyne,
CSIRO, Tasmanian ICT Centre, Australia
* Sarabjot Singh Anand,
Department of Computer Science, University of Warwick, UK
* Ido Guy,
IBM Research, Haifa, Israel
* Andreas Hotho,
University of Würzburg , Germany

* Shlomo Berkovsky, CSIRO, Australia
* Peter Brusilovsky, University of Pittsburgh, USA
* Robin Burke, De Paul University, USA
* Xiongcai Cai, University of New South Wales, Australia
* Elizabeth Daly, IBM Research, Cambridge, MA USA
* Jon Dron, Athabasca University, Canada
* Casey Dugan, IBM Research, USA
* Rosta Farzan, Carnegie Mellon University, USA
* Werner Geyer, IBM Research, USA
* Max Harper, University of Minnesota, USA
* C. Lee Giles,The Pennsylvania State University, USA
* Kristina Lerman, University of Southern California, USA
* Luiz Pizzato, The University of Sydney, Australia
* Lars Schmidt-Thieme, University of Hildesheim, Germany
* Shilad Sen, Macalester College, St. Paul, USA
* Aaditeshwar Seth, IIT Delhi, India
* Barry Smyth, University College Dublin, Ireland
* Gerd Stumme, University of Kassel, Germany
* Roelof van Zwol, Yahoo! Research Barcelona
* Juergen Vogel, SAP Research


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'11.

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: 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

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