Where do you sit on the bell curve? Are you an early adopter, in the early or late majority, or are you a laggard?
I like to think I’m in the early majority, although there are probably a lot of gurus out there who would place me firmly in the late one. I’m definitely not an early adopter?it just seems like a lot of effort, especially when it turns out that the first iteration wasn’t the best one and now you’ve got to start all over from scratch. But I suppose if you’re an early adopter, you’d want to start from scratch anyway, constantly. So you probably don’t care if the latest greatest thing you just invested gets quickly superseded. On the contrary, it gives you a reason to buy something new, hooray!
Right now, as I type these very words, I’m trying a new technology; I’m using Word 2007’s blogging function. It looks just like the document interface, with a few additional web-specific bells and whistles, and I assume it will publish the same as if I had logged into WordPress the way I usually do. Here’s my commitment to you, though; I will leave the post exactly as is when it gets published, even if it looks completely Picasso. Of course, I do have the option to publish it as a draft, but instead I’m going to live dangerously, throw caution to the winds, and let the chips fall where they may.
What does this have to do with Spock, you ask? Nothing. I’m just rambling, sorry. Now I’ll focus.
Alex Iskold reported on Spock for Read/Write Web this week, detailing the intricacies of their vertical search and their success at implementing semantic relationships:
The only kind of search result that you get from Spock is a list of people; and it interprets any query as if it is about people. So whether you search for democrats or ruby on rails or new york, the results will be lists of people associated with the query. In that sense, the algorithm is probably a flavor of the page rank or frequency analysis algorithm used by Google - but tailored to people.
I think this is a brilliant approach. The narrow focus allows Spock to really perfect the technique. One of the challenges with generalized semantics is the nearly infinite number of interpretations. Because the engine already knows the search is about people, all of the relationships and tagging and additional knowledge is confined to a highly specific set of possibilities. Keeping tight boundaries is conducive to success.
Iskold says tagging is the best part of Spock:
Perhaps the most interesting aspect of Spock is its usage of tags. Firstly, all frequent phrases that Spock extracts via its crawler become tags. In addition, users can also add tags. So Spock leverages a combination of automated tags and people power for tagging.
But I think the real master stroke is making their focus people. Really, they could have chosen anything: cars, bunny rabbits, or cargo containers. But by choosing people, they’re that much more likely to have the concept take off. Let’s face it, we love people. We love to talk about them, hear about them, read about them and gossip about them. We also love to talk about, hear about, read about and gossip about ourselves. There’s nothing wrong with that; it’s human nature. So if a search engine like Spock allows us to tag ourselves and clarify our relationships to the world, we’re likely to enjoy it, and perhaps recommend it to others.
This is exactly the sort of activity that leads to viral spreading. Imagine if you discovered that you could type in “beach volleyball California” and your own name would come up. That would be pretty exciting?I’d certainly want to show somebody.
We say it all the time at VortexDNA. The Internet is about people. This isn’t The Matrix; without people, the Web is nothing.
Perhaps you don’t agree, or perhaps you think that more players on the Web need to remember that people are the purpose. Either way, I’d be delighted to get your opinion.