How Semantic and Social Search Are Evolving: Lessons From the Evri-Twine Merger
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the media partnership aspect of its business; that includes deals with organizations like Hearst, The Washington Post, and The Times of London.
But the company’s central vision, he says, is to deliver “intelligent [data] streams to consumers” that, in effect, reduce their need to do traditional Web searches. That means providing them with a steady stream of personalized news and information gleaned from the Web. Instead of tracking five or six categories on Google News, you could create thousands of categories and receive feeds about any topic, however specific—in sports, you might get streams about major league baseball pitchers, football players with Super Bowl wins, or college basketball teams in the NCAA tournament. It could be like an automated, smarter version of Twitter—or it could actually incorporate Twitter, helping you sort tweets by meaning or category.
Evri says its intellectual property position is particularly strong after gaining some key patents from Radar Networks, including ones on natural language processing and semantic understanding of text. (Twine was less focused on real-time streams, and more on learning about people’s interests.) The merged company’s patent portfolio now includes more than 15 issued patents and 40-some others pending review. Hunsinger says the merger “makes us the lead dog in the semantic search and discovery space.” He adds, “Now we have to figure out how one plus one equals three.”
Indeed, it will be interesting to see how Evri makes use of the hard lessons Radar Networks learned over the past couple of years. Many of these lessons were detailed in an extensive blog post by Radar Networks’ Spivack last week. They include nuggets like his advice to early-stage entrepreneurs about raising less money from VCs, spending less, getting to profitability quickly, and not staying on as the long-term CEO. All in all, it doesn’t sound very encouraging, and it’s enough to make anyone wonder whether semantic search is still a solution looking for a problem. But perhaps handling social, real-time search in a better way could be that problem.
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