RSWEB 2011 - 3rd Workshop on Recommender Systems and the Social Web* (RSWeb 2011)

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Category RSWEB 2011

Deadline: August 01, 2011 | Date: October 23, 2011-October 27, 2011

Venue/Country: Chicago, U.S.A

Updated: 2011-07-30 09:20:00 (GMT+9)

Call For Papers - CFP

on

*Recommender Systems and the Social Web*

(RSWeb 2011)

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

http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm

*** ext: 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.

TOPICS OF INTEREST

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.

WORKSHOP ORGANIZERS

* 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

PROGRAM COMMITTEE

* 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

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'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:

https://www.easychair.org/conferences/?conf=rsweb11 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.

Important Dates

* 1 August, 2011: Paper submission due

* 19 August, 2011: Author notification

* 12 September, 2011: Camera-ready papers due