HI, the next sdforum event might be interesting to you.  Hope to see you
again.  -aj

*Make Machines Learn for
Us*<http://www.sdforum.org/index.cfm?fuseaction=Page.viewPage&pageId=656&parentID=483&nodeID=1>

One advantage for being human is that we are able to learn. We gain even
more advantage if we can make machines learn for us.  On this event, we are
going to learn what machine learning is about from experts. Machine learning
is being applied to optimize and automate many processes including search
engine, online ad platform, customer intelligence, etc.  Hope you will get
some ideas from the presentations that will help you implement machine
learning in your applications.

Evgeniy Gabrilovich from Yahoo Research will present "Machine learning in
computational advertising: algorithms and applications": Online advertising
is the primary economic force behind numerous Internet services ranging from
major Web search engines to obscure forums. A new discipline - Computational
Advertising - has recently emerged, which studies the process of advertising
on the Internet from a variety of angles. A successful advertising campaign
should be integral to the user experience and relevant to the users'
information needs, as well as economically worthwhile to the advertiser and
the publisher. This talk will survey the use of machine learning techniques
in designing computational advertising systems. We demonstrate how to enrich
query representation using Web search results, and thus use the Web as a
repository of relevant query-specific knowledge. We also discuss the
findings of our studies on when to advertise, as well as the insights we
gained by studying how users interact with the ads.

Ted Dunning will talk about Mahout, the new open source tool for large scale
machine learning. He will present a quick overview of the goals and major
capabilities of Mahout in the brand new 0.4 release and then will drill down
into the recently added classification framework that allows Mahout to be
deployed in production settings for high volume training and classification
tasks such as ad quality estimate, detailed offer targeting and fraud
detection.
6:30 PM - 9:00 PM November 3, 2010   Cubberley Community Center - Room
H-1  4000
Middlefield Road  Palo Alto, CA



-- 
AJ Chen, PhD
Chair, Semantic Web SIG, sdforum.org
web2express.org
twitter: @web2express
Palo Alto, CA, USA

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