Or we could all put our knowledge together, to created the biggest index of underworld methods of money making and site optimisation.
...... oh wait.
If you have enough money to build & create a quantum computer (yes, they exist already. google it.) and have the money and resources to hire the worlds greatest minds to provide a search algorithm to run on it, then MAYBE you might be able to compete with google.
most search problems are NP-complete. Solve this and you'll be given $1m anyway (literally, loadsa companys have offered this!), so yeah ...
i do this basically as a degree. AI is just pure searching and deals with issues like this.
Believe me, its no easy feat.
If you have enough money to build & create a quantum computer (yes, they exist already. google it.) and have the money and resources to hire the worlds greatest minds to provide a search algorithm to run on it, then MAYBE you might be able to compete with google.
most search problems are NP-complete. Solve this and you'll be given $1m anyway (literally, loadsa companys have offered this!), so yeah ...
get reading your favourite maths, physics and AI books, then in 5 years time you can have an idea of how complex google is, nevermind have your own search engine!
Google is just a piece of long code with a good algebra algorithm.
I'm not trying to rain on anyone's parade, I'm just saying I'd be surprised if there was more than 5 people on this entire forum who are capable of understanding even the most basic math that goes into doing a simple query, let alone deterministic modeling, document quality analysis, or latent semantic indexing. This isn't something you can just pick-up from an ebook or a blog post. This is something that people go to school for years to understand the basic basic principles of.
I'm not trying to rain on anyone's parade, I'm just saying I'd be surprised if there was more than 5 people on this entire forum who are capable of understanding even the most basic math that goes into doing a simple query, let alone deterministic modeling, document quality analysis, or latent semantic indexing. This isn't something you can just pick-up from an ebook or a blog post. This is something that people go to school for years to understand the basic basic principles of.
Well guys sorry i did not finish my thread , the power went down , anyway what i meant was....
Going up against the big G is tough, because they hold so many of the cards.
Jammie is spot on when it comes to algorithms sucking, but if you take a look at what G is up to (ana1ytics for instance) you can start to get an idea of how they can combine algorithmic search with other factors. If there were two sites, for instance, that both scored about the same from the algorithm, but one had a much higher bounce rate than the other, which would you guess is more relevant to the people searching?
IMHO, the next generation of search engines will have to hybridize these kinds of approaches, balancing algorithms with indirect "voting", and adjust the results accordingly.
Could someone else try to get started? Sure, but come on, we all know that G has a huge head start because they already have a decent algorithm, toolbars in lots of browsers and ana1itics on half the sites out there.
This thread made me chuckle. Microsoft has spent over 1 billion dollars trying to "beat" Google. So yeah, good luck guys!