<div dir="ltr"><div>==== CALL FOR PAPERS ====</div><div> </div><div>CrowdRec 2014: Second ACM RecSys Workshop on Crowdsourcing and Human Computation for Recommender Systems</div><div><a href="http://crowdrecworkshop.org">http://crowdrecworkshop.org</a></div>
<div> </div><div>Held in conjunction with ACM Recommender Systems 2014</div><div>Silicon Valley, California, USA, 6th-10th October 2014</div><div> </div><div>Human computation is the application of human intelligence to solve problems that computers cannot yet solve. Crowdsourcing scales up the power of human intelligence, by calling on a large number of human contributors, referred to as the Crowd. Recently, many areas of research have awakened to the potential of techniques that gather input from human contributors. However, the opportunities are particularly promising for recommender systems, whose reliance on expressions of human preference, e.g., ratings, in huge quantities already qualifies them as crowd-driven technology. In focusing heavily on human preference, however, today’s recommender systems fall short of the benefits of actively integrating the full potential of human intelligence. The purpose of the CrowdRec workshop is to provide a forum for exchange and discussion on how human intelligence and crowd techniques can be used to improve recommender systems.</div>
<div> </div><div>A wide range of possibilities exists for effectively collecting intelligent input from humans and for incentivizing the Crowd to make specific contributions. Collection of input can occur in social communities, via large online crowdsourcing platforms such as Mechanical Turk, or by way of a variety of applications that use principles of gamification to engage users. Crowdmembers can directly contribute information (such as comments and reviews), can validate information (such as tags or descriptions), or can provide feedback on recommender system design or performance. At present, however, the Crowd remains notoriously difficult to exploit effectively. The challenge arises from the complexity of user and crowdmember communities. Such groups constitute dynamic systems that are highly sensitive to changes in the form and the parameterization of their activities. A thorough understanding of how best to present tasks to the Crowd, and to make use of intelligent input, will be crucial in recommender systems to benefit from crowdsourcing and human computation.</div>
<div> </div><div>The CrowdRec Workshop encourages contributions focusing on new approaches, new concepts, new methodologies and new applications that combine human computation/crowdsourcing with conventional recommender systems. Topics include, but are not limited to, the following:</div>
<div><br></div><div>Human Contributions beyond the User-Item Matrix</div><div>-Applications and interfaces for collecting annotations,</div><div>-Games With A Purpose (GWAP) or other annotation-as-by-product designs,</div>
<div>-Effective Learning from crowd-annotated or crowd-augmented datasets,</div><div>-Mining social media to support recommendation,</div><div>-Conversational recommender systems,</div><div>-Wisdom of the Crowd for decisions support.</div>
<div><br></div><div>Designing and Evaluating Recommenders using Crowd Techniques</div><div>-Recommender evaluation metrics and studies,</div><div>-Crowd-based user studies,</div><div>-Human intelligence for personalization support,</div>
<div>-User modeling and profiling,</div><div><br></div><div>Methodologies for Human Intelligence in Recommender Systems</div><div>-Identifying expertise and managing reputation,</div><div>-Engaging crowdmembers and ensuring quality, </div>
<div>-Tools and platforms to support crowd-enhanced Recommender Systems,</div><div>-Inherent biases, limitations and trade-offs of crowd-powered approaches,</div><div>-Empirical and case studies of crowd-enhanced recommendation,</div>
<div>-Ethical, cultural and policy issues related to crowd recommendation.</div><div><br></div><div>-----------</div><div>SUBMISSIONS</div><div>-----------</div><div>CrowdRec 2014 welcomes submissions of full papers, as well as</div>
<div>short papers reporting work-in-progress. Full papers must be no</div><div>longer than 6 pages (inclusive of all figures, references, and</div><div>appendices). Short papers are 2 pages, and will be presented as</div>
<div>Posters in an interactive setting.</div><div> </div><div>All submissions must be written in English and must be formatted according to the standard ACM SIG proceedings format. Papers will be judged on their relevance, technical content and correctness, and the clarity of presentation of the submitted work.</div>
<div> </div><div>Detailed instructions for submission will be posted to the workshop website.</div><div> </div><div>------------</div><div>PUBLICATIONS</div><div>------------</div><div>Each accepted paper requires at least one of the authors to register for the workshop.</div>
<div> </div><div>---------------</div><div>IMPORTANT DATES</div><div>---------------</div><div>Submission due: July 21, 2014</div><div>Author notification: August 21, 2014</div><div>Camera-ready due: August 30, 2014</div>
<div>Workshop date: During ACM RecSys 6th-10th October 2014 (Exact date to be announced)</div><div> </div><div>--------------------</div><div>ORGANIZING COMMITTEE</div><div>--------------------</div><div>Paolo Cremonesi, Politecnico di Milano, Italy, <a href="mailto:paolo.cremonesi@polimi.it">paolo.cremonesi@polimi.it</a></div>
<div>Alexandros Karatzoglou, Telefonica Research, Spain, <a href="mailto:alexk@tid.es">alexk@tid.es</a></div><div>Martha Larson, Delft University of Technology, Netherlands, <a href="mailto:m.a.larson@tudelft.nl">m.a.larson@tudelft.nl</a></div>
<div><br></div><div>--------------------</div><div>ADVISORY BOARD </div><div>--------------------</div><div>Thank you to the workshop’s past organizers for providing their support as advisors.</div><div>Kuan-Ta Chen, Academia Sinica, Taiwan</div>
<div>Irwin King, The Chinese University of Hong Kong</div><div> </div><div><br></div><div><br></div>-- <br><div dir="ltr">-- <div>Alan Said</div><div>Multimedia Computing Group</div><div>Delft University of Technology</div>
<div>e: <a href="mailto:alansaid@acm.org" target="_blank">alansaid@acm.org</a></div><div>t: @alansaid</div><div>w: <a href="http://www.alansaid.com" target="_blank">www.alansaid.com</a></div></div>
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