Damn, I love science, the computer don’t know squat about what those words mean or how they’re related to “skiing”, but look at it go:

1000 ngrams analyzed: skiing,winter,mountain,industry,beach,map,summer,unique,enjoy,culture,
welcome,season,offers,room,beautiful,built,shop,outdoor,golf,areasskiing,mountain,winter,beach

6000 ngrams analyzed: skiing,winter,snow,shops,ski,fishing,hiking,village,accommodation,resort,
alpine,zealand,finest,magnificent,guests,springs,unit,bathroom,vacation,attractions

15000 ngrams analyzed: skiing,ski,shops,hiking,village,accommodation,alpine,resort,magnificent,
guests,mountains,climbing,scenic,trails,harbour,comfortable,bookings,prestigious,seasons,magazines

32000 ngrams analyzed: skiing,ski,hiking,alpine,magnificent,climbing,scenic,trails,harbour,
bookings,prestigious,seasons,magazines,coastal,majestic,situated,renowned,picturesque,superb,lodge

With each iteration the words are getting more and more closely related. Damn and that’s with only 7000 random sites training! Only 24 (yep twenty four) of them contain word ’skiing’!

Science is magic! I’m even having second thoughts on whether I should release this at all I really feel like I’m being the “tester” in Chinese room experiment and computer plays me.

skiing: guests, decide, secure, body, categories, video, list

Even though somewhat related, but not by a long shot. And “secure”??.. tell it to my broken downhill ski Well, it’s a disappointment more than ex-SEwOrdizer. Ok, but with a few imrovements to the algorithm:

skiing: majestic, magnificent, tourist, shops, guests, route, tennis, minute

Yes, you can see the majestic and magnificent nature views on a tourist ski route, while guests on a ski resort can take minute to visit the ski shops. While tennis is also a sport.

And this isn’t yet a final version. This should replace SEwOrdizer for the time being, I thikn I’ll call it SEmangic (Semantic + Magic). I think it’s due to be released in a few days (probably earlier unless I stumble memory problem somewhere).

And of course If TheRarestWords ever to return on a full scale (i.e. on a dedicated server) - the SEwOrdizer will make it comeback. Probably.

I’m gonna be testing this for a while, before enabling editing capabilities.

I’ve been using Opera browser since 7th versions and loved it dearly, I’ve asked waves after waves of people to use it instead of other browsers, but starting with 7.5 you started to make the stupidest decisions that force me to use Firefox!

1. I loved single key shortcuts, especially “1″ and “2″. Why do I have now to enable them in profile if they were there for ages and I’m used to them? Because Firefox users do not use them? I’m not a Firefox user, and neither is any Opera user - do I even need to explain it?
2. If the server doesn’t return an answer (i.e. there’s an error in PHP script or the server is down completely) - DON’T EVER RETURN ME A CACHED COPY ON REFRESH! This pisses me off as I’m a developer and I refresh the page to see the changes and there’s none, but instead - the script DIDN’T EVEN RUN, but for some reason you decided to return me a cached copy! And now I don’t even know that something is wrong.
3. If I select “Store 0(zero) of my typed addresses”, and unselect “Remember content on visited pages” - that means NEVER STORE ANYTHING I TYPE INTO ADDRESS BAR, INCLUDING my google searches and custom search engine searches.

This was all working before 9.5 - why did you have to break it?

Yes, I did send it to Opera developers. I have nothing against Firefox, BTW. I would’ve used it if it weren’t for it’s close to 20 seconds startup time even on clean install and if they implemented gestures in default installation.

Well, a few weeks of data mining and voila! The software was born - “flim.me!”

Think of “last.fm for movies”. Basically, you rate a few films that you have already seen and get recommendations on what movies you would probably enjoy watching. It does so by finding people with tastes that are similar to yours.

This is 0.001alpha version, so it’s a very pre-release, might have bugs, problems, some films don’t have years, some have some weird stuff in titles, etc, but as far as I used it - it works pretty stable.

And I did enjoy the films that it recommended me. It’s free.

Site: http://www.flim.me/

The Googlebot was searching for “meaning of life” limited to my “suggestan.com” site and it “clicked” the link to read the “If you want to know the meaning of life” page there. This is spooky, I know Google is working on artificial intelligence, but I was thinking of “here’s a couple more book searches for you” kind of intelligence, not the “who are you people and where’s all the booze?” kind. Thank God Google bot didn’t start filling the empty spaces there.

P.S. Ok, no conspiracy theories or UFOs here… It was a first time I ever saw Gbot with referer and it was a nice one. My best explanation is that is the way Google fights cloaking, trying to emulate a person completely. But it was just too fun to see this exact page being hit.

It’s basically reverse of what Suggestan is - try to guess a topic by phrase from it. And if you think this guess is interesting enough - create a topic with it!

Also as suggested by fans on “Suggest a feature” - I’ve opened Facebook fan page. I don’t know what it’s useful for.

P.S. I’ve also closed TheRarestWords this week - it’s due for a comeback next year (I think so).

The example is “traditional” search of Twitter for Linux vs “semantic kernel search” for same phrase. It uses a small random part of kernel - it is done just because I didn’t want to load Twitter servers with hundreds of queries.

The demo is here: http://semkernel.com/tweet/linux

The idea is that if you search for all the words that are closely related to the topic - you’re going to find broader results. It’s unnatural for people to write obvoius (for them) things, like if I say: “Visited St.Basil’s Cathedral today - the weather was nasty” - it would be unnatural for me to write “Visited St.Basil’s Cathedral in Moscow, Russia today” because it’s redundant information.

Another example would be “I’ve seen Obama today” vs “I’ve seen Obama today. Obama is a democrat. Democrats are political party. Political party is politics.” - you see how dumb should be phrase so that “traditional” keyword search find the “I’ve seen Obama today” on “politics” query.

Okay, if you enter politics into Google - you would probably find Obama’s site, but… that takes a lot of people linking it with “politics” phrase. And that leaves very little choice over what you’ll find. Actually mostly no choice - you wouldn’t find phrase “I’ve seen Obama today” in any way in search engine, because nobody would be linking to it. That leaves us with mainstream news sources. That’s exactly why blogging is dying today - single bloggers can’t compete with big corporate bloggers, who can buy media love.

Ok, back to the “St.Basil’s weather” phrase. So, if you were searching for “Russia” or “Moscow, Russia” - you would NOT find my post, because there’s “implied” knowledge, which is hidden inside of a phrase. Traditional search engines can’t see it.

But if the next-gen search engine would’ve used “semantic kernels” to expand the result - you’d have found it, because keyword “basil’s cathedral” is in semantic kernel of “Moscow” (although not yet in the semantic kernel of “Russia”). But this technology is still young and developing and actually those semantic kernels are only partial of what can be achieved.

Semantic kernels can mean that search engines would find your page if it has quality information without gazillions of links. Actually linking has nothing to do at all with relevancy search. Well, it SHOULDN’T have anything to do…

There wouldn’t be “googlebombing” if linking wasn’t a major part of Google’s algo. And the way they “solved” the problem now means that you have to write “democrats are political party, which is politics” so that you can be found on “politics” query.

And the search is only one field where semantics can be a major step forward.

That one of the usages my semkernel.com is going to try to help people with. The technology is there to try.. now.

The project is yet in a pre-alpha stage (it works, but requires some automation), so the kernels are processed with much delay cause they require running a EC2 farm just to gather those and it’s just ineffective to run it for each query.

The kernels are showing only 40 first entries for each query, that should be pretty much enough for any non-commercial use I can think of; full kernels will probably be available for a small fee (haven’t decided yet).

So, welcome to “Semantic Kernel Bot“.