<html><body>
<p><font size="2" face="sans-serif"> ** Please forward to anyone who might be interested **</font><br>
<font size="2" face="sans-serif">--------------------------------------------------------------------------</font><br>
<br>
<font size="2" face="sans-serif"> FINAL CALL FOR PAPERS</font><br>
<font size="2" face="sans-serif"> for the 5th Workshop</font><br>
<font size="2" face="sans-serif"> on</font><br>
<br>
<font size="2" face="sans-serif"> *Recommender Systems and the Social Web*</font><br>
<font size="2" face="sans-serif"> (RSWeb 2013)</font><br>
<br>
<font size="2" face="sans-serif">Held in conjunction with ACM RecSys'13 in October in Hong Kong, China</font><br>
<font size="2" face="sans-serif"> </font><a href="http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2013/index.shtml"><font size="2" face="sans-serif">http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2013/index.shtml</font></a><br>
<br>
<font size="2" face="sans-serif"> NEW SUBMISSION DEADLINE</font><br>
<br>
<font size="2" face="sans-serif"> *** 1 August, 2013 : Paper submission *** </font><br>
<font size="2" face="sans-serif"> 29 August, 2013 : Author notification</font><br>
<font size="2" face="sans-serif"> 29 September, 2013 : Camera-ready papers</font><br>
<font size="2" face="sans-serif"> 13 October 2013 : Workshop held</font><br>
<font size="2" face="sans-serif">--------------------------------------------------------------------------</font><br>
<br>
<font size="2" face="sans-serif">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.</font><br>
<br>
<font size="2" face="sans-serif">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.</font><br>
<br>
<font size="2" face="sans-serif">TOPICS OF INTEREST</font><br>
<font size="2" face="sans-serif">==================</font><br>
<font size="2" face="sans-serif">We solicit original contributions in the following areas:</font><br>
<br>
<font size="2" face="sans-serif">* Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc.</font><br>
<font size="2" face="sans-serif">* Leveraging models of user behavior on the Social Web for recommendation</font><br>
<font size="2" face="sans-serif">* Recommender systems mash-ups, intelligent user interfaces, rich media recommender systems</font><br>
<font size="2" face="sans-serif">* Collaborative knowledge authoring, collective intelligence</font><br>
<font size="2" face="sans-serif">* Topic emergence and evolution on the Social Web and their role in recommendation process</font><br>
<font size="2" face="sans-serif">* Recommender applications involving users or groups directly in the recommendation process</font><br>
<font size="2" face="sans-serif">* Exploiting folksonomies, social network information, user interactions, and communities in the recommendation process</font><br>
<font size="2" face="sans-serif">* The role of context in Social Web recommendation</font><br>
<font size="2" face="sans-serif">* Trust and reputation aware social recommendations</font><br>
<font size="2" face="sans-serif">* Semantic Web recommender systems, use of ontologies or microformats</font><br>
<font size="2" face="sans-serif">* Empirical evaluation of social recommender techniques, success and failure measures</font><br>
<font size="2" face="sans-serif">* Case studies and novel fielded social recommender applications</font><br>
<font size="2" face="sans-serif">* Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation</font><br>
<font size="2" face="sans-serif">* Social recommender systems in the enterprise</font><br>
<font size="2" face="sans-serif">* Recommendation for groups</font><br>
<br>
<font size="2" face="sans-serif">We also encourage submissions which relate research results from other areas to the workshop topics.</font><br>
<br>
<font size="2" face="sans-serif">WORKSHOP ORGANIZERS</font><br>
<font size="2" face="sans-serif">=============================</font><br>
<font size="2" face="sans-serif">* Bamshad Mobasher,</font><br>
<font size="2" face="sans-serif"> School of Computing, DePaul University, USA</font><br>
<font size="2" face="sans-serif">* Dietmar Jannach,</font><br>
<font size="2" face="sans-serif"> Department of Computer Science, TU Dortmund, Germany</font><br>
<font size="2" face="sans-serif">* Werner Geyer, </font><br>
<font size="2" face="sans-serif"> IBM Research, Cambridge, MA, USA</font><br>
<font size="2" face="sans-serif">* Jill Freyne,</font><br>
<font size="2" face="sans-serif"> CSIRO ICT Center, Australia</font><br>
<font size="2" face="sans-serif">* Andreas Hotho, </font><br>
<font size="2" face="sans-serif"> Universität Würzburg, Germany</font><br>
<font size="2" face="sans-serif">* Sarabjot Singh Anand, </font><br>
<font size="2" face="sans-serif"> Algorithmic Insight, India</font><br>
<font size="2" face="sans-serif">* Ido Guy,</font><br>
<font size="2" face="sans-serif"> IBM Research, Haifa, Israel</font><br>
<br>
<br>
<font size="2" face="sans-serif">SUBMISSIONS AND STYLE</font><br>
<font size="2" face="sans-serif">=====================</font><br>
<br>
<font size="2" face="sans-serif">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.</font><br>
<br>
<font size="2" face="sans-serif">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.</font><br>
<br>
<font size="2" face="sans-serif">Papers should be submitted in PDF format by using EasyChair: </font><a href="https://www.easychair.org/conferences?conf=rsweb2013"><font size="2" face="sans-serif">https://www.easychair.org/conferences?conf=rsweb2013</font></a><font size="2" face="sans-serif"> </font><br>
<font size="2" face="sans-serif">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.</font><br>
<br>
<font size="2" face="sans-serif">At least one author of each accepted paper must register for the workshop. </font><br>
<br>
<font size="2" face="sans-serif">Information about registration is provided at the RecSys 2013 Web page: </font><br>
<a href="http://recsys.acm.org/2013/"><font size="2" face="sans-serif">http://recsys.acm.org/2013/</font></a><br>
<br>
<font size="2" face="sans-serif">Important Dates</font><br>
<font size="2" face="sans-serif">===============</font><br>
<font size="2" face="sans-serif">* 1 August, 2013 : Paper submissions due</font><br>
<font size="2" face="sans-serif">* 29 August, 2013 : Author notification</font><br>
<font size="2" face="sans-serif">* 29 September, 2013 : Camera-ready papers due</font><br>
<font size="2" face="sans-serif">* 13 October, 2013 : Workshop held</font><br>
<br>
<font size="2" face="sans-serif">Question and inquiries: rsweb2013@ls13.cs.uni-dortmund.de</font></body></html>