[ML-news] SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation - Submission Deadline June 7 (updated)
Emine Yilmaz
SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation
Please note the updated submission deadline!
Call for Papers
The SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation (CSE2010) solicits submissions on topics including but are not limited to the following areas:
* Novel applications of crowdsourcing for evaluating search systems (see examples below)
* Novel theoretical, experimental, and/or methodological developments advancing state-of-the-art knowledge of crowdsourcing for search evaluation
* Tutorials on how the different forms of crowdsourcing might be best suited to or best executed in evaluating different search tasks
* New software packages which simplify or otherwise improve general support for crowdsourcing, or particular support for crowdsourced search evaluation
* Reflective or forward-looking vision on use of crowdsourcing in search evaluation as informed by prior and/or ongoing studies
* How crowdsourcing technology or process can be adapted to encourage and facilitate more participation from outside the USA
The workshop especially calls for innovative solutions in the area of search evaluation involving significant use of a crowdsourcing platform such as Amazon's Mechanical Turk, Crowdflower, LiveWork, etc. Novel applications of crowdsourcing are of particular interest. This includes but is not restricted to the following tasks:
* cross-vertical search (video, image, blog, etc.) evaluation,
* local search evaluation
* mobile search evaluation
* realtime/news search evaluation
* entity search evaluation
* discovering representative groups of rare queries, documents, and events in the long-tail of search
* detecting/evaluating query alterations
For example, does the inherent geographic dispersal of crowdsourcing enable better assessment of a query's local intent, its local-specific facets, or diversity of returned results? Could crowd-sourcing be employed in near real-time to better assess query intent for breaking news and relevant information?
Most Innovative Awards --- Sponsored by Microsoft Bing
As further incentive to participation, authors of the most novel and innovative crowdsourcing-based search evaluation techniques (e.g. using Amazon's Mechanical Turk, Livework, Crowdflower, etc.) will be recognized with "Most Innovative Awards" as judged by the workshop organizers. Selection will be based on the creativity, originality, and potential impact of the described proposal, and we expect the winners to describe risky, ground-breaking, and unexpected ideas. The provision of awards is thanks to generous support from Microsoft Bing, and the number and nature of the awards will depend on the quality of the submissions and overall availability of funds. All valid submissions to the workshop will be considered for the awards.
Submission Instructions
Submissions should report new (unpublished) research results or ongoing research. Long paper submissions (up to 8 pages) will be primarily target oral presentations. Short papers submissions can be up to 4 pages long, and will primarily target poster presentations. Papers should be formatted in double-column ACM SIG proceedings format (http://www.acm.org/sigs/publications/proceedings-templates). Papers must be submitted as PDF files. Submissions should not be anonymized.
Papers should be submitted through the conference management system: http://www.easychair.org/conferences/?conf=cse2010. If you do not have an EasyChair account you will need to create one in order to submit a paper.
Important Dates
Submissions due: June 7, 2010
Notification of acceptance: June 21, 2010
Camera-ready submission: June 28, 2010
Workshop date: July 23, 2010
Questions?
Email the organizers at cse...@ischool.utexas.edu
Organizers
Vitor Carvalho, Microsoft Bing
Matthew Lease, University of Texas at Austin
Emine Yilmaz, Microsoft Research
Program Committee
Eugene Agichtein, Emory University
Ben Carterette, University of Delaware
Charlie Clarke,University of Waterloo
Gareth Jones, Dublin City University
Michael Kaisser. University of Edinburgh
Jaap Kamps, University of Amsterdam
Gabriella Kazai, Microsoft Research
Mounia Lalmas, University of Glasgow
Winter Mason, Yahoo! Research
Don Metzler, University of Southern California
Stefano Mizzaro, University of Udine
Gheorghe Muresan, Microsoft Bing
Iadh Ounis, University of Glasgow
Mark Sanderson, University of Sheffield
Mark Smucker, University of Waterloo
Siddharth Suri, Yahoo! Research
Fang Xu, Saarland University
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