Blog Archives

Algorithmic Trading in a Data-full World

By Jen Burns in Big Data, Cartoons, Featured, Personalization on April 16, 2014

blog image

Algorithmic trading in the stock market moves millions of shares by breaking up the big buy/sell orders into a series of smaller ones. Yet, on the flip side, algorithmic trading is also used to sew smaller orders together to make bigger moves all at once. Kevin Slavin mentioned this in his 2011 Ted Talk.

Abusing Hadoop

By Robin Morris in A Word from the Engineers, Featured on July 11, 2013

blog image

Hadoop has, for good reasons, become the platform of choice for big data processing. It’s open source, it’s being developed rapidly, it runs on commodity hardware with no per-node licensing fees, and it has an active community and a steadily growing body of knowledge and experience built around it. All of which make adopting hadoop an easy sell for both start-ups and enterprise users who wish to migrate away from ... Read More »

Data Scientist, Data Engineer and Data Analyst

By Vinay Verma in Featured, Technology and Science on June 27, 2013

blog image

The role of data scientist grew alongside the internet as did a few other related engineering jobs. Data engineers and data analysts work with data scientists to complete the whole “big-data” picture. They work together to determine the data platform requirement, basic and advanced algorithms, and to deliver the visual tools needed to analyze and present the data and value creation back ... Read More »

Beware the Bias

By Marti Tedesco in Machine Learning on May 31, 2013

blog image

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 »

A Personalization Manifesto – Personalize Based On User Type Part II of III

By Dan Darnell in Featured, Personalization on May 21, 2013

blog image

Before any real personalization can happen, a retailer needs to first ask, how well do I know this shopper?  In most cases, the shopper will be an unknown or anonymous visitor.  These are users that you have never seen before or that you do not recognize. Using in the moment context and intent is the best ... Read More »

Algorithms, Merchandising and Psychology – Part 2

By Robin Morris in A Word from the Engineers, Featured on May 9, 2013

blog image

In my last post, we discussed the recommendation algorithm, the merchandizing layer and the presentation layer as well as the fact that I am working on a KPI-optimizing algorithm that differs from a collaborative filtering algorithm. In running A/B tests on these differing approaches, we’ve found that the sites divide into two types. Type 1: ... Read More »

Algorithms, Merchandising and Psychology - Part 1

By Robin Morris in A Word from the Engineers, Featured on May 7, 2013

blog image

I was going to write this blog about feature hashing, a massively useful trick when building classifiers and predictive models.  It saves the time and complexity of building a dictionary and allows the hashed feature vector to be smaller than the number of possible features.  It is smaller because the number of actual features in a particular data set is often much ... Read More »

Complements in Data Science

By Dan Darnell in Featured, Technology and Science on April 3, 2013

blog image

Lately you may have seen buzz words like “data science”, “big data” and “algorithms” making headlines on sites like TechCrunch, PandoDaily and others, where they are being actively debated and questioned. While a surprise to some, the concept of data science is nothing new and has been a backbone of personalization and other machine learning technologies for years. But for retail companies, the concept of ... Read More »