[Apologies for cross-posting]

 

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RecSys 2012: CALL FOR TUTORIAL PROPOSALS

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6th ACM International Conference on Recommender Systems (RecSys 2012)

September 9 - 13, 2012, Dublin, Ireland

http://recsys.acm.org/2012/

Submission Deadline: April 16, 2012

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CALL FOR TUTORIAL PROPOSALS

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RecSys 2012 is pleased to invite proposals for tutorials to be held in conjunction with the conference. The goal of the tutorials is to provide the larger conference community an opportunity to learn about recommender system concepts and techniques and serve as a venue to share presenters' expertise with the global community of recommender system researchers and practitioners.

Tutorials are 90 minute intensive instructional sessions focused on specific topics including, but not limited to:

 

* Introductions to recommender systems or specific techniques

* Methodologies for evaluating and measuring

* Building and deploying recommender systems

* Designing the user experience

* Intersections of recommender systems with other domains

We actively encourage both researchers and industry practitioners to submit tutorial proposals.

 

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IMPORTANT DATES

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Apr 16, 2012: Tutorial proposals due

May 21, 2012: Decisions announced

Jun 25, 2012: Camera-ready tutorial summaries due

Sep 10, 2012: Tutorials held

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PROPOSAL FORMAT

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The tutorial proposal should be a PDF document no more than 2 pages long, submitted by e-mail to [log in to unmask] and organized as follows:

1. Tutorial Title

2. Name, email address, and affiliation for tutorial instructor(s). Each listed instructor should present at the conference.

3. Detailed bulleted outline of the tutorial (this should take most of the proposal's space)

4. Targeted audience, prerequisite knowledge,

5. Importance of this topic for the RecSys community

6. History of prior tutorials from the instructor(s)

 

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RecSys 2011 Tutorial chairs:

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Alexander Tuzhilin, Stern School of Business, NYU, NY ([log in to unmask])

Werner Geyer, IBM Research, Cambridge, MA ([log in to unmask])

 

 

 

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M.Sc.(Eng.) Alan Said

Competence Center Information Retrieval & Machine Learning

Technische Universität Berlin DAI-Labor Sekr. TEL 14 Ernst-Reuter-Platz 7

10587 Berlin / Germany

Phone: 0049 - 30 - 314 74072

Fax: 0049 - 30 - 314 74003

E-mail: [log in to unmask]

http://www.dai-labor.de

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