[4eyes] Fwd: Free ACM Learning Webinar, Thurs, Sept. 20: "Recommender Systems: The Power of Personalization"

Wed Aug 22 00:09:59 PDT 2012

This seems like it may be of interest to several people in the lab.

Cheers,
  Steffen

-------- Original Message --------
Subject: 	Free ACM Learning Webinar, Thurs, Sept. 20: "Recommender
Systems: The Power of Personalization"
Date: 	Tue, 21 Aug 2012 16:59:14 -0400
From: 	ACM Learning Center <learning at HQ.ACM.ORG>
Reply-To: 	ACM Learning Center <learning at HQ.ACM.ORG>
To: 	ACM-WEBINAR at LISTSERV.ACM.ORG

ACM Newsletters
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Free ACM Learning Webinar, Thurs, Sept. 20: "Recommender Systems: The
Power of Personalization"

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*Register NOW* <http://learning.acm.org/webinar/recommender> to attend
the next free ACM Learning Webinar, *"Recommender Systems: The Power of
Personalization,"* presented on *Thursday, September 20, 2012 at 12 PM
EDT (9 AM PDT/10 AM MDT/11 AM CDT/4 PM UTC)*. (_Note_: You can stream
this and all ACM Learning Webinars on your mobile device, including
smartphones and tablets.)

Personalization is the key to helping guide users through the morass of
available choices to the products and information they seek. Industry
leaders such as Amazon.com, Microsoft, Google, and E-Bay have long used
recommender systems to improve their offerings and better serve their
customers. But recommender systems aren’t limited to big technology
firms—they've been widely used by small information providers,
retailers, and service firms.

This webinar provides an introduction to recommender systems, describing
the different types of recommendation technologies available and how
they are used in different applications today.

*Duration*: 60 minutes

*What You’ll Learn About*:

   * What are recommender systems and how are they used today?
   * The different types of recommender systems:
       * content-based vs. collaborative recommendation
       * ephemeral vs. persistent personalization
   * User profiles, site logs, and the information used in recommendation
   * An introduction to the basic technology of recommendation
   * Pointers to resources for further learning

*Presenter*:
*Joseph A. Konstan*, /University of Minnesota; SIGCHI/
Joseph A. Konstan is Distinguished McKnight University Professor and
Distinguished University Teaching Professor of Computer Science and
Engineering at the University of Minnesota. He has been working in the
field of recommender systems since 1995. He's published more than 50
research articles on the topic, holds five patents related to
recommender systems, and co-authored the book /Word of Mouse: The
Marketing Power of Collaborative Filtering/, one of the first books on
the application of recommender systems to commercial systems. Konstan
chaired the first ACM Conference on Recommender Systems, and has been
active in ACM, including serving as President of ACM SIGCHI and serving
on the ACM Council. He co-founded Net Perceptions, Inc. in 1996, which
commercialized recommendation engines and had a variety of online and
bricks-and-mortar companies among its customers, including Amazon.com.
He is a Fellow of the ACM, was elected to the SIGCHI Academy, and was
part of the team that won the 2010 ACM Software Systems Award for the
GroupLens Collaborative Filtering Recommender Systems.

*Moderator*:
*Gary M. Olson*, /University of California, Irvine; SIGCHI/
Gary M. Olson is Donald Bren Professor of Information and Computer
Sciences at the University of California, Irvine. Previously he was Paul
M. Fitts Professor of Human-Computer Interaction in the School of
Information and Professor of Psychology at the University of Michigan.
For more than two decades, Olson has conducted research in
human-computer interaction (HCI) and computer supported cooperative work
(CSCW). Currently the focus of his work is on how to support small
groups of people working on difficult intellectual tasks, particularly
when the members of the group are geographically distributed. Most
recently, this research includes an on-line survey called the
Collaboration Success Wizard which provides feedback to participants in
such projects to help them achieve success in their collaborations. He
has published more than 120 articles and chapters, and has edited four
books, most recently /Scientific Research on the Internet/. In 2003 he
was elected to the ACM SIGCHI Academy, and in 2006 shared the SIGCHI
Lifetime Achievement Award with Judy Olson. He is also a Fellow of the
ACM, the Association for Psychological Science (APS), and the American
Psychological Association (APA).

Click here to register <http://learning.acm.org/webinar/recommender> for
this free webinar and be sure to share this with friends and colleagues
who may be interested in this topic. And check out our past events, all
available on demand <http://learning.acm.org/multimedia.cfm#webinars>.

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