Blog Archives

December Personalization Roundup

By Dan Darnell in Machine Learning, Personalization on December 27, 2013

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Every year, I take stock of the past year to get an idea of what the New Year will hold, so I went through the 2013 monthly round-ups to select stories that defined the state of personalization, predictive analytics and other major retail trends last year.

August Personalization Roundup

By Dan Darnell in Recommendations on August 28, 2013

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August has shown us how retailers are preparing to capture a larger slice of the ever-important BTS and holiday pie. With e-commerce now growing beyond pre-recession levels, retailers want to capture shoppers as early as possible and keep them coming back for the holiday season.  Mobile online purchases continue to grow as well so retailers are using every tool in their grasp to gain an edge on their competitors. ... Read More »

Beware the Bias

By Marti Tedesco in Machine Learning on May 31, 2013

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One of the beauties of big data and machine learning is that is it supposed to be completed agenda-less.  The system collects data of all types and the machine learning algorithms watch and establish meaningful patterns and outputs as a result of the abundant data.  Seems simple enough. Unfortunately, as with most things, it’s not that simple. First, most systems, at least in ecommerce, don’t collect ... Read More »

May Personalization Roundup

By Dan Darnell in Personalization on May 29, 2013

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We’ve seen a steady flow of articles discussing machine learning, online privacy and personalization. While each of these topics is interesting in and of itself, the confluence of these three topics is where the digital debate is headed. What data should algorithms consume in order to provide consumers with a personalized experience without infringing on personal privacy? What role do humans play in determining how technology ... Read More »

Machine Learning in Hive

By Robin Morris in A Word from the Engineers on March 20, 2013

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As I’ve written before, we do a lot of our development here at Baynote in Hive, allowing us to leverage the power of our Hadoop cluster, whilst insulating us from writing low-level map-reduce jobs. One question that comes up on the hive mailing list from time-to-time is how to implement machine learning algorithms within Hive. Twitter told ... Read More »

Infinite Loop?

By Marti Tedesco in Featured, Technology and Science on January 4, 2013

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In the long ago land of mainframe computing, a sequence of instructions in a computer program which looped endlessly without any sort of terminating condition was called an infinite loop.  In some old operating systems these loops might cause the entire system to become unresponsive or freeze.  Not good.   Today’s machine learning has a loop of its own – a feedback loop, which ideally ... Read More »

Machine Learning: The Omniscience vs. Intelligence Fallacy

By Scott Brave in Featured, Personalization, Recommendations on July 10, 2012

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Misconceptions of machine learning can run fairly deep.  People not only have unrealistic expectations of what a machine can automatically figure out, but truly impossible ones.  I sometimes think of this as the omniscience vs. intelligence fallacy.  Intelligence is the ability to generalize and learn useful patterns from data and/or experiences.  This is what we humans do naturally every day.  But intelligence requires data. Very often the data that the ... Read More »