Posted on September 23, 2008, 1:15 pm, by Jason Rennie, under
java.
“Hello? Contegix?” “Good morning. We’ve observed an OutOfMemoryError on stylefeeder01. We’ve restarted the web application and it seems to be running fine.” “Thanks for taking care of this for us,” I’d say. At this point, I’d start digging through log files to find out what had happened. We’ve certainly had our share of Java Garbage […]
Posted on September 9, 2008, 3:34 pm, by dina, under
Misc.
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 […]
Posted on September 5, 2008, 6:24 am, by savage, under
Misc.
Congrats to the respective party nominees:
Posted on September 4, 2008, 12:17 pm, by Jason Rennie, under
Misc.
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 […]
Posted on September 4, 2008, 10:08 am, by Jason Rennie, under
Misc.
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, we collect […]
Posted on September 2, 2008, 2:20 pm, by Jason Rennie, under
Misc.
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 data is […]