There’s a new search engine in town and the quality of the search results are quite good, in fact; judging from a few tests that I made with it.

Unlike clustering search engines, FIND.com finds related topics in a semantic database and is designed to learn from user interaction. Theoretically, the more a person uses the site, the more accurate the search results. It analyzes any search terms linguistically to determine what each one means. Topics are assigned based on relevance and subject.

In other words, the more I use Find.com, the better it gets at understanding what I want.  Now that’s a reward (give me better search results).

“The major search engines have done wonderful jobs showcasing the importance of search, and proving that search is the best place to start for whatever you’re doing on the Internet. But there’s a lot of room for improvement, and our integration of tigo|search technology with the new FIND.com demonstrates the powerful possibilities. Studies show consumers are ready and willing to experiment with new search engines, and now consumers have a better way,” said Scientigo CEO Doyal Bryant in a statement.

I’ll probably start using Find.com more, just to test it out and see if the results get better.  I’m wondering how it can know it’s "me" searching if I do some searches from one computer and some from another?  

My guess is the results are not personalized, and perhaps it gets better the more people use it, not so much any individual person.