ACM SIGCHI General Interest Announcements (Mailing List)


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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
"Michael D. Ekstrand" <[log in to unmask]>
Thu, 3 Mar 2016 16:40:10 -0600
text/plain (60 lines)
The Tenth ACM Conference on Recommender Systems (RecSys 2016) 
will take place in Boston, MA at the Massachusetts Institute of 
Technology (MIT) and IBM Research campuses from September 15-19, 

This mail is to remind you of upcoming deadlines.  Full paper 
abstracts are due in just under 6 weeks, on April 13, 2016, and 
papers one week after that (April 20th).

In addition to regular full and short paper tracks, this year's 
conference features a special track on the Past, Present, and 
Future of Recommender Systems.

PAST, PRESENT, AND FUTURE PAPER submissions celebrate the 
innovation and growth of the community, put forward innovative 
future applications or provide material that helps set a future 
research agenda for the Recommender System community. To mark 
the tenth year of the RecSys Conference, this track encourages 
papers that consider a broad perspective on how the field has 
evolved and the challenges and directions that lay ahead. We 
encourage, position papers, both qualitative and quantitative 
historical analyses, reflections on persistent or fleeting 
trends in the field and blue sky future agendas for recommender 
research. Papers can be up to 4 pages in length and will be 
judged on originality and creativity. Each accepted Past, 
Present, Future paper will be included in the conference 
proceedings and presented in brief entertaining oral 
presentations at one of the birthday events or technical 


- Long, short, and past/present/future papers: abstracts Apr. 
  13, full papers Apr. 20
- Tutorial proposals: May 15
- Doctoral Symposium papers: May 2
- Demos: Apr. 30
- Posters: July 1
- Industry talk proposals: Apr. 13

Full details and calls for participation are available online:

We look forward to seeing you in Boston.

Michael D. Ekstrand
Assistant Professor, Dept. of Computer Science
Texas State University

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