There’s a new type of search engine making a debut on the web dubbed Trapit. It’s unique in it’s own right simply because of the premise it has been built on, by learning what it is that you search for it delivers similar results for you to look through.
It’s not an unheard of idea, or even really a unique one at that, Trapit however takes a step further and tries to make educated guesses as to your preferences. It’s the same kind of algorithm that Apple’s new Siri technology uses to deliver your answers to you as you ask for them. Trapit does specifically type cast itself as a discovery engine, not a search engine, that doesn’t preclude what they have deemed to be an upcoming competition with Google out of the picture. Trapit co-founder Gary Griffiths called Google an online yellow pages, saying that it works well for direct queries but not for getting to new content.
It’s an interesting idea and a different perspective on delivering search results to be sure. But it’s a rather curious thought that general users are in so far okay with the way Trapit works. The puzzlement is coming from remembering the public enjoys being able to have their privacy protected, as they should. And that there have been more than one concern or complaint registered in Google’s realm about privacy and about how your search terms are saved and or indexed as part of your search history. My question to the early adopters and testers of Trapit would be then: How do you expect that Trapit learns what you may enjoy? It saves your searches, either on a cookie on your computer or within their members database and extrapolates from their via it’s algoritm.
But then again, it seems that it’s alright for a little player out there to have access to your searches and (potentially) information, but not the big guys who are frequently held accountable. Perhaps it’s just another case of wanting to eat your cake and have it too.