Let’s say you are a huge website with an application platform and API that other companies have invested many millions of dollars in. You decide to improve that platform, great. You decide to make it a major renovation rather than a series of improvements, not so great, but we’ll let that slide since the old [...]
Here at StyleFeeder, we created a personal shopping engine built upon the idea of making online shopping easier and more personalized. Our personal shopping engine learns your style and delivers results that you’ll love in seconds. As you’ll see, this blog post serves as our official entry to the Forrester Groundswell Awards. Groundswell is a [...]
Congrats to the respective party nominees:
According to recent data we’ve been collecting on StyleFeeder, not very.
It’s always been our contention that while major search engines may be effective if you know exactly what you’re looking for (like a Canon PowerShot 8D70I or a Free People Fleece Dolman Sweater), they don’t work for shoppers stuck at the category level. If [...]
One of the KDD conference sessions I was excited about attending was “Data Integration.” I know, I know, it doesn’t have that sexy ring of “Social Networks,” but it’s a very real problem that StyleFeeder, as well as just about any company that stores gigabytes or terabytes of data, faces. In our case, [...]
One of the most popular sessions at KDD was the Social Networks panel. Social network data has long existed and been found useful for discovery and prediction, but only recently has the scale, availability and value of social network data reached tremendous heights. One of the most well known sets of social network [...]
Not new, but still worthy of VOTW status.
I’m representing StyleFeeder at this year’s KDD conference, held in Las Vegas, Nevada. It might seem odd mixing seductive showgirls and stodgy statisticians, but I think it’s an excellent location choice. Gambling concepts such as probability, expected value and exploration vs. exploitation are core to many concepts in Machine Learning, Data Mining and [...]
This isn’t technology related, but every startup on the planet should do what we did for our signage. It’s cost effective and looks great. Check out the photos.
Getting data feeds from hundreds of vendors, it’s always surprising how big or small some of them can be. Sometimes there is a rational explanation, like when they include a separate product entry for every size or color. Sometimes it’s just astounding how much variety there is in certain product categories that I wouldn’t give [...]