Modern newsrooms either need to reduce choices so dramatically that a human editor can easily and timely decide how to program the front page, or the organization must deploy technology that help reduce choice and calculate best performing outcomes within an editorial framework.

“It’s clear the current [personalization] platforms don’t get us there on their own. But by striking a balance between editors and code, Pariser thinks we can get the best of both worlds.”

Tonight CNNMoney hosted its first startup event, at which three entrepreneurs were invited to pitch their ventures — and talk up how their companies could help the CNNMoney brand. “CNNMoney received more than 100 submissions, and winnowed it down to three finalists: Qwanz, Roboinvest and Visual Revenue.”

Dennis and I will be heading up to ONA ’11 this Friday and Saturday. We’re proud to be both sponsors of ONA ’11 and members of ONA (Online News Association) and look forward to chatting with as many of you as possible, so do drop by and visit us at our booth (#15) to find out more.

It’s been a super busy summer for the VR team and over the course of the next month we’ll be pushing a significant number of updates to the Visual Revenue Front Page Platform live. We have a host of exciting new features to showcase, the first of which is: The Article Engagement Indicator

One of the features of our platform that some of our customers are super excited about is our ability to assign a value to each of the recommendation we provide. As customers, they are interested in knowing exactly how much value we add, on top of the value their content is already generating. In addition, the Recommendation Values help them in prioritizing which recommendations to take. I would like to dive a little into our Recommendation Value calculation and show you how it works.