CFP: ACM Transactions on the Web: Special issue on Recommenders on the Web

Einat Amitay <einat-7z/[email protected]> Sun, 17 Aug 2008 18:27:39 +0300
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Call for Papers

Special issue on Recommenders on the Web
ACM Transactions on the Web

GUEST EDITORS
John Riedl
Barry Smyth

Recommender systems are changing the way people interact with the Web. From
e-commerce sites like Amazon.com to news and information sites like digg
and slashdot, recommenders help people choose between diverse products and
complex information, by providing a more personalized information access
experience. While much of the published research on recommenders has
focused on the algorithms that power the recommendation process, many
research challenges remain, especially when it comes to the applications,
interfaces and social implications of recommenders.

This special issue of ACM Transactions on the Web aims to gather a
collection of high quality contributions that reflect recent innovations in
the field of Web-based recommender systems.  Papers may focus on novel Web
interfaces for recommenders, on emerging applications of recommenders, or
on the ways recommenders fit into the Social Web.  Particular areas of
interest include, but are not limited to:

Applications of Recommenders on the Web

Recommenders on the Web, including the mobile Web and e-commerce;
recommenders and community, including group recommenders, recommenders to
support social networking, and techniques for leveraging the social graph
in forming recommendations.

Recommendation Interfaces

Novel recommendation interfaces, including Web, mobile, and Web2.0;
emerging interface technologies, including haptic interfaces, group
interfaces, and public-displays; the role of explanations in recommender
systems; evaluating recommendation interfaces through user studies and
other HCI approaches.

The Social Implications of Recommender Systems

User privacy in recommender systems; privacy-preserving recommendation
techniques; security and data protection; the robustness of recommender
systems (e.g., to recommendation spam); techniques for detecting and coping
with malicious users; on the role of trust in recommender systems;
computational models of trust for recommender applications.

Recommender Algorithms for the Web

Novel algorithms especially suited to Web applications; evaluation
techniques for algorithms that effectively predict performance in practice;
hybrid collaborative and content-based recommenders; conversational
recommenders.


Guest Editor Contact Information

Professor John Riedl
Department of Computer Science and Engineering
University of Minnesota
Minneapolis, MN 55455
[email protected]
http://www.cs.umn.edu/~riedl

Professor Barry Smyth
Digital Chair of Computer Science,
School of Computer Science and Informatics,
College of Engineering Mathematical and Physical Sciences,
University College Dublin, Belfield, Dublin 4, Ireland.
Barry Smyth <[email protected]>
Tel: +353-1-7162473 | Fax: +353-1-2697262
http://csiweb.ucd.ie/Staff/AcademicStaff/bsmyth/

Submission Information

Prospective authors, please submit your paper according to the directions
on the ACM TWEB Web site following the content and formatting guidelines
available at http://www.acm.org/tweb/author.html. There you can also find
detailed information about the ACM TWEB review process.  When submitting
your paper, please mention that it is to be considered for the special
issue on Recommenders on the Web.  In addition, please send a copy of your
paper to <[email protected]> and <[email protected]>, with the Subject line
"TWeb: Recommenders on the Web".

Papers due: September 15, 2008
Author notification: January 30, 2009
Revised versions of accepted papers due: March 16, 2009
        (all accepted papers expected to undergo a minor set of revisions)
Final materials for publication due: May 1, 2009
Special issue published: August 2009 (tentative)


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            <p><br>
Call for Papers<br>
<br>
Special issue on Recommenders on the Web<br>
ACM Transactions on the Web<br>
<br>
GUEST EDITORS<br>
John Riedl<br>
Barry Smyth<br>
<br>
Recommender systems are changing the way people interact with the Web. From<br>
e-commerce sites like Amazon.com to news and information sites like digg<br>
and slashdot, recommenders help people choose between diverse products and<br>
complex information, by providing a more personalized information access<br>
experience. While much of the published research on recommenders has<br>
focused on the algorithms that power the recommendation process, many<br>
research challenges remain, especially when it comes to the applications,<br>
interfaces and social implications of recommenders.<br>
<br>
This special issue of ACM Transactions on the Web aims to gather a<br>
collection of high quality contributions that reflect recent innovations in<br>
the field of Web-based recommender systems.  Papers may focus on novel Web<br>
interfaces for recommenders, on emerging applications of recommenders, or<br>
on the ways recommenders fit into the Social Web.  Particular areas of<br>
interest include, but are not limited to:<br>
<br>
Applications of Recommenders on the Web<br>
<br>
Recommenders on the Web, including the mobile Web and e-commerce;<br>
recommenders and community, including group recommenders, recommenders to<br>
support social networking, and techniques for leveraging the social graph<br>
in forming recommendations.<br>
<br>
Recommendation Interfaces<br>
<br>
Novel recommendation interfaces, including Web, mobile, and Web2.0;<br>
emerging interface technologies, including haptic interfaces, group<br>
interfaces, and public-displays; the role of explanations in recommender<br>
systems; evaluating recommendation interfaces through user studies and<br>
other HCI approaches.<br>
<br>
The Social Implications of Recommender Systems<br>
<br>
User privacy in recommender systems; privacy-preserving recommendation<br>
techniques; security and data protection; the robustness of recommender<br>
systems (e.g., to recommendation spam); techniques for detecting and coping<br>
with malicious users; on the role of trust in recommender systems;<br>
computational models of trust for recommender applications.<br>
<br>
Recommender Algorithms for the Web<br>
<br>
Novel algorithms especially suited to Web applications; evaluation<br>
techniques for algorithms that effectively predict performance in practice;<br>
hybrid collaborative and content-based recommenders; conversational<br>
recommenders.<br>
<br>
Guest Editor Contact Information<br>
<br>
Professor John Riedl<br>
Department of Computer Science and Engineering<br>
University of Minnesota<br>
Minneapolis, MN 55455<br>
<a href="mailto:riedl%40cs.umn.edu">riedl-2/[email protected]<wbr>edu</a><br>
<a href="http://www.cs.umn.edu/~riedl">http://www.cs.<wbr>umn.edu/~<wbr>riedl</a><br>
<br>
Professor Barry Smyth<br>
Digital Chair of Computer Science,<br>
School of Computer Science and Informatics,<br>
College of Engineering Mathematical and Physical Sciences,<br>
University College Dublin, Belfield, Dublin 4, Ireland.<br>
Barry Smyth &lt;<a href="mailto:barry.smyth%40ucd.ie">barry.smyth@<wbr>ucd.ie</a>&gt;<br>
Tel: &#43;353-1-7162473 | Fax: &#43;353-1-2697262<br>
<a href="http://csiweb.ucd.ie/Staff/AcademicStaff/bsmyth/">http://csiweb.<wbr>ucd.ie/Staff/<wbr>AcademicStaff/<wbr>bsmyth/</a><br>
<br>
Submission Information<br>
<br>
Prospective authors, please submit your paper according to the directions<br>
on the ACM TWEB Web site following the content and formatting guidelines<br>
available at <a href="http://www.acm.org/tweb/author.html.">http://www.acm.<wbr>org/tweb/<wbr>author.html.</a> There you can also find<br>
detailed information about the ACM TWEB review process.  When submitting<br>
your paper, please mention that it is to be considered for the special<br>
issue on Recommenders on the Web.  In addition, please send a copy of your<br>
paper to &lt;<a href="mailto:riedl%40cs.umn.edu">riedl-2/[email protected]<wbr>edu</a>&gt; and &lt;<a href="mailto:barry.smyth%40ucd.ie">barry.smyth@<wbr>ucd.ie</a>&gt;, with the Subject line<br>
&quot;TWeb: Recommenders on the Web&quot;.<br>
<br>
Papers due: September 15, 2008<br>
Author notification: January 30, 2009<br>
Revised versions of accepted papers due: March 16, 2009<br>
        (all accepted papers expected to undergo a minor set of revisions)<br>
Final materials for publication due: May 1, 2009<br>
Special issue published: August 2009 (tentative)<br>
<br>
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