-------- Original-Nachricht -------- Betreff: [InternetTC] Call for Papers: ACM Workshop on Crowdsourcing for Recommender Systems (CrowdRec 2013) Datum: Wed, 10 Jul 2013 18:24:49 +0800 Von: Sheng-Wei (Kuan-Ta) Chen swc@IIS.SINICA.EDU.TW An: itc@COMSOC.ORG

==== CALL FOR PAPERS ====

CrowdRec 2013 International ACM Workshop on Crowdsourcing for Recommender Systems

held in conjunction with ACM Recommender Systems 2013 October 12--16 2013, Hong Kong

http://crowdrec2013.noahlab.com.hk/

We are pleased to announce the first workshop on crowdsourcing and human computation for recommender systems. The recommender systems we refer to as a broad spectrum of applications involving recommendation, information valuation, filtering, summarization, etc. in various contexts from e-commerce to social networking and mobile applications. This workshop aims to provide a scholarly venue for researchers and practitioners to exchange the advances of crowdsourcing and human computation technologies and applications, with an emphasis on the applications in recommendation systems. The potentials and advantages of crowdsourcing and human computation have been explored for a number of areas such as computer-human interaction and information retrieval, we believe that these advances can also benefit the research of recommender systems at large.

Submissions are invited on theories, experiments, and explorations of how human (or the crowd) can involve the process of information valuation and recommendation. Topics include, but are not limited to the use of crowds and/or human computation, in the following areas of research:

Ground-truth annotation - Annotator user interface - Games with a purpose (GWAP) or other annotation-as-byproduct designs - Effective learning from crowd inputs - Mining from social media

Large-scale evaluation of recommender systems - Recommender evaluation metrics and studies - Personalization support - User modeling and profiling

Crowdsourcing and human computation methodologies - Security, privacy, trust, and reputation management - Quality assurance and cheat detection - Economics and incentive structures - Programming languages, tools and platforms providing enhanced support - Empirical and case studies of using crowdsourcing for recommendation - Policy and cultural issues related to crowd recommendation

----------- SUBMISSIONS ----------- CrowdRec 2013 welcomes submissions of full papers, as well as short papers reporting work-in-progress. Full papers must be no longer than 6 pages (inclusive of all figures, references, and appendices). Short papers are 2 pages, and will be presented as Posters in an interactive setting.

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.

Please see the workshop website for detailed instructions of paper submission.

------------ PUBLICATIONS ------------ Accepted full and short papers will appear in the ACM Recommender Systems 2013 Proceedings and in the ACM Digital Library.

Each accepted paper requires at least one of the authors to obtain a workshop registration. Also, one of the authors (or a qualified substitute) must give a presentation of the paper at the workshop. Otherwise, the paper will not be indexed by the ACM Digital Library.

--------------- IMPORTANT DATES --------------- Submission due: July 19, 2013 Author notification: August 16, 2013 Camera-ready due: August 30, 2013 Workshop date: October 12, 2013

-------------------- ORGANIZING COMMITTEE -------------------- General Co-Chairs: * Kuan-Ta Chen, Academia Sinica * Irwin King, The Chinese University of Hong Kong

Program Co-Chairs: * Omar Alonso, Microsoft * Albert Ching-man Au Yeung, Noah's Ark Lab, Huawei

------- CONTACT ------- For general inquiries, please contact Kuan-Ta Chen (swc@iis.sinica.edu.tw mailto:swc@iis.sinica.edu.tw); for submission and program-related issues, please contact Albert Ching-man Au Yeung (albertauyeung@gmail.com mailto:albertauyeung@gmail.com).