NewsGator/mSpoke Collaborative Related Content

NewsGator and mSpoke have been quietly working together for several months on a range of projects. In addition to having some kick ass technology, we really like the mSpoke team and are excited that fruits from our working projects are beginning to be realized. Sean Ammirati wrote a thoughtful post on our Widgets Blog about the conceptual approach to delivering related content, which as the name suggests is a mechanism that publishers can use to surface not only highly relevant third party sourced material against any source piece of content, but related content that is filtered using our attention score.

Over the last several months, NewsGator has partnered with mSpoke on several initiatives. Our first jointly-developed product “the Related Content widget” is now coming to market. While many companies can recommend related articles, we provide a superior experience by combining NewsGator’s attention data and reporting with mSpoke’s content analysis capabilities. In this post, I’ll give a quick overview of how the Related Content Widget works and some of the highlights of our unique approach.

[From mSpoke's Sean Ammirati on Our Collaborative Related Content Widget: NewsGator Widget Blog]

The Stern Words Foreign Policy

Nuff said.

Tbilisi, Georgia – Bowing to a withering barrage of pointed criticisms and strongly-worded letters of reprimand from the international diplomatic community, an embarrassed Russian military today abandoned its attack on the former Soviet republic of Georgia late this afternoon and retreated sheepishly over the Caucasus.

“Look, I don’t really know what to say – other than, ‘hey, our bad,’” said Russian Foreign Minister Sergei Lavrov in an awkward, shoe-gazing statement to the United Nations. “Seriously, dude, it just totally wasn’t like us to lash out like that. We’ve been having a couple of bad decades, and I guess we just sort of snapped.”

Analyze Your Browser History

Clever script that looks at your web browser history and taking the aggregate of the male to female ratios for sites that are in Quantcast’s top 10k sites determines whether you are male or female. In my case, it was accurate… to a degree that suggests I might require a little diversity in my web browsing. :)

So what I did is I modified the SocialHistory JS so that it polled the browser to find out which of the Quantcast top 10k sites were visited. I then apply the ratio of male to female users for each site and with some basic math determine a guestimate of your gender.

[From Mike On Ads » Blog Archive » Using your browser URL history to estimate gender]

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