The Future of Web Search
Part Two: How Search Works Right Now
Wednesday, April 23rd, 2008
By Dr. Eric Glover, Searchme’s Classification Architect. Eric is responsible for the design and implementation of Searchme’s categories feature, a seemingly simple tool that springs from an exciting area of artificial intelligence (AI) research and development.
Henry Ford once said: “If I’d asked my customers what they wanted, they’d have said a faster horse.” In thinking about search right now, most of us wouldn’t compare our favorite search engine to a horse. But in reality, somebody like Henry Ford has already decided for us how search will be, what results we will see, and how they will be presented.
A lot of people say, “Who gives a crap? I’m happy with how search works. Why do we need to change it?”
Here’s why: Just like those horse owners, we are so used to what we know that we don’t think about the fact that things could be even better. And, just because we aren’t screaming for a better search engine doesn’t mean that we wouldn’t use one when it showed up.
Before we start thinking about what search could be, though, let’s look at why search is currently the way it is.
The main reason is that most search engines see users as a number, not as individuals. Most search engines assume that: 1.) There’s a perfect set of results out there for every query; and 2.) What’s perfect for one user will be perfect for everyone.
To come up with this “perfect” set of results and corresponding ranking, search companies pick a bunch of pre-defined queries and then pay people to judge the relevance of their results and maybe the relevance to other engines. The problem with this is that we all know there’s no “perfect” set of results. It varies with each user, as does the best ranking of results.
So how do search companies currently deal with the fact that there’s no one perfect set of results?
Next – Part Three: How Search Works Right Now, Cont’d.



