SM: Based on the way you are approaching the problem, it seems much easier to do relevance in a constrained domain than in an unconstrained domain. TC: Absolutely. Relevance is the idea of constraining things.
SM: How successful is your architecture when it comes to indexing? TC: We now index a lot more pages than other people. Microsoft and Yahoo! have fallen behind in terms of indexing and keeping up with Google. Google will get better with more competition.
SM: Did Anna go to Google after it went public? TC: She went there before it went public. Google was in a total panic as Yahoo! had come out with a competitive product. Google was in a hyper phase of trying to make things better, which is a terrible thing to do. They got nothing
Tom Costello has a PhD in computer science from Stanford University. His emphasis is artificial intelligence (AI), and aside from teaching he has worked as a researcher at Stanford for DARPA and the U.S. Air Force. He was one of the founders of Xift, and he later worked at IBM. Today his research in the area
I have written a few pieces on recommendation systems that help sites personalize their offerings. As you know, my thesis on Web 3.0 heavily centers around personalization. In this installment of the Deal Radar, we will be looking at yet another recommendation technology company.
In 2004, we started investigating the issue of K-12 education, especially in Math and the Sciences. As part of this endeavor, we interviewed a number of teachers at various high schools in the Bay Area. Two nuggets came out of these interviews (1) there is no standardized methodology of teaching (2) there is no methodology
SM: Let’s discuss your financial history, in the final segment of the conversation. Who financed the company at the very beginning? I assume it was some of Neal’s Capital IQ proceeds that went into Inform. JS: It was friends and family, yes. SM: Did you raise Venture money? How much? From whom?
It turns out that both Jim Satloff and I happen to be Artificial Intelligence aficionados. What you read here is a discussion on Inform’s Natural Language Processing (NLP) based technology that attempts to create an interesting value proposition for publishers on the web. AI has been a notoriously difficult technology genre with big promises and