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Subject:
From:
"Sheng-Wei (Kuan-Ta) Chen" <[log in to unmask]>
Reply To:
Sheng-Wei (Kuan-Ta) Chen
Date:
Fri, 7 Jun 2013 18:05:55 +0800
Content-Type:
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                 ==== 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 ([log in to unmask]);
for submission and program-related issues, please contact Albert Ching-man
Au Yeung ([log in to unmask]).

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