Archives for March, 2009
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Bayesian filtering is based on the principle that most events are dependent and that the probability of an event occurring in the future can be inferred from the previous occurrences of that event (link). A probability value is then assigned to each word or token; the probability is based on calculations that take into account how often that word ...more»
In my experience the majority of web agencies and developers still do not take search seriously enough. Most businesses have very simple requests, "How do I show up for keyword for people in the area", "How do I show up higher than my competitor on searches", and "How do people find my site". The web is an economy ...more»
A friend of mine and I recently started a new project. After kicking around several ideas we finally reached a consensus on applying software prediction to financial data. This has been pursued pretty heavily but from a home brew stand point, we wanted to make software that could compete by mashing up existing data and technology available on ...more»
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It has been about a month now since the roll out and you can see the traffic trends rising since we started this process back in January. At the rate google is crawilng the data, the projection is that traffic will continue to rise well into the fall as everything is indexed.
With that said, we are about to surpass ...more»
