Published: April 19, 2011
RichRelevance Chief Scientist to Showcase RecLab Project at CloudSlam 2011
SAN FRANCISCO - (BUSINESS WIRE) - RichRelevance, the leading provider of dynamic e-commerce
personalization for the world's largest retailers, today announced that
Chief Scientist Darren Vengroff has been selected to present on RecLab,
an open-source project designed to spur retail innovation via the cloud.
Vengroff's session will detail how RecLab takes full advantage of the
cloud and the implications for all kinds of research communities,
focusing on the ways that the cloud can help researchers avoid the
pitfalls that have historically made it difficult to work with real data
and live traffic. The session
takes place virtually on April 22 at 3 p.m. EDT, and will be available
to conference attendees through the CloudSlam site, http://cloudslam.org/.
"Innovation in this space has been stifled to date, as researchers have
lacked the environment to test their hypothesis and algorithms against
actual consumers," said Darren Vengroff, Chief Scientist at
RichRelevance and head of RecLab. "Through RecLab, we're giving them the
opportunity to go after actual industry challenges, including one of the
most basic problems in retail: will someone buy this or not? By
leveraging the flexibility and reach of our secure cloud, we're enabling
them take their best shot at coding a solution, testing it, ensuring it
works, and then allowing it to run in a real retail environment. This is
a huge spur to innovation and one that underlines the power that the
cloud offers. I am extremely excited to join CloudSlam and showcase this
novel approach to innovation through the cloud."
RecLab is an open-source project operating under the Apache 2 license.
It defines all of the key Java interfaces and APIs for interacting with
the RecLab environment. It also provides simple implementations of these
APIs that allow developers to design, test, and debug their algorithms
quickly and efficiently without having to take the time, effort, or
expense of setting up a large cluster of their own.
The project supports a wide variety of contextual and behavioral data,
both at model build time and at runtime. Code running in RecLab has
access to both immediate click-by-click and a wide variety of past
shopping behavior. In RecLab, researchers begin with synthetic data
sets, derived from probabilistic models, not real shoppers. However,
once code has been written, tested, and debugged it can be submitted to
run live against a small segment of traffic on a live retail site
through the RichRelevance cloud. More information on the environment, as
well as a tutorial on building models within the environment, can be
found here.
About CloudSlam
This hybrid conference, April 18-22, is a global event, covering latest
trends and innovations in the world of cloud computing. Conference
panels, workshops, and tutorials are selected to cover a range of the
hottest topics in cloud computing. More information on the agenda and
registration can be found here.
About RichRelevance
RichRelevance powers personalized shopping experiences for the world's
largest and most innovative retail brands, including Wal-Mart, Sears,
Overstock.com and others. Founded and led by the e-commerce expert who
helped pioneer personalization at Amazon.com, RichRelevance helps
retailers increase sales and effectively monetize site traffic by
providing the most relevant products, content and offers to shoppers as
they switch between web, store and mobile. RichRelevance has delivered
more than $1 billion in attributable sales for its clients to date, and
is accelerating these results with the introduction of a new form of
personalized advertising called shopping media which allows brands to
engage shoppers where it matters most - at the point of purchase on the
largest retail sites in world. RichRelevance is located in San
Francisco, with offices in Seattle and London. For more information,
please visit www.richrelevance.com.

RichRelevance
Mickey Nelson, 651-214-4472
pr@RichRelevance.com
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