CALL FOR PAPERS
for the 5th Workshop on
Recommender Systems and the Social Web (RSWeb 2013)
Held in conjunction with ACM RecSys'13 in Hong Kong, China
***19 July, 2013 : Paper submission***
16 August, 2013 : Author notification
6 September, 2013 : Camera-ready papers
12-16 October 2013 : ACM RecSys 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
===============
* 19 July, 2013 : Paper submission due
* 16 August, 2013 : Author notification
* 6 September, 2013 : Camera-ready papers due
* October, 2013 : Workshop held
Question and inquiries: rsweb2013@ls13.cs.uni-dortmund.de
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
===============
* 19 July, 2013 : Paper submission due
* 16 August, 2013 : Author notification
* 6 September, 2013 : Camera-ready papers due
* October, 2013 : Workshop held
Question and inquiries: rsweb2013@ls13.cs.uni-dortmund.de
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