I guess Watson is a prime example of machine-learning (AI) search. Facebook seems to be doing an end run around that possibility. I'd call this crowd-sourced search--and I have all kinds of problems with crowd-sourcing. Crowds can be dumb.
@Kim Yeah, that's lame. Results fully depend on what information you give FB as a user. If you hardly add anything to your profile and only post occasionally, the super social graph can't tell searchers much about you.
@Kim I notice them when I look for apps in Google Play since some of my G+ circle mates have +1'd an app. I tend to turn off personalized results at work since I need to see organic results for clients.
Their basic search technology is Boolean. As some may be aware, boolean search, of all the search methodologies, is the least productive. In fact, among researchers in the field of knowledgebases it was long abandoned.
However, the web being the web, even a primitive techology, first presented to the public, suddenly becomes "high tech". As somone who promoted and tried to foster knowlewdgebase and content search (and AI) since my work in school at while at various corporations, it amused me to watch as these outdated methods appeared -- and then succeeded!! It's as if I were in a hydrogen fuel cell laboratory, and then I pick up the paper and read about how steam engines using coal were powering automobiles!
So, yes, it's taken quite a bit of time and there have been sprouts along the way that added in content to searching (all of them unsuccessful) and now there's Graph. Again, at the same time we have IBM's Watson which appeared on TV. You would think that would have been the end of it...I mean, a computer which you can clearly ask questions (or answers of) and it responds in real time...end of the story, right? But no, it's not like that in the marketplace. Other factors besides pure science intrude and maybe the good stuff gets out there...some day.
Not everything..but quite a lot..I visit facebook daily especially to assess some of the on-going political dialogue..we can leverage Facebook to keep the Virtual Pulse on areas...what will be quite interesting if we, as users, are given further discretion on what we can do...similiar, say to "SULIA"......which I am starting to really get to know....
I am still trying to "garner" the long-term impact. This is no question that the massive amount of data Facebook has developed can somehow be harnessed. But, the practical application especially for scholarly research is something that I view as frankly akin to Wikipedia. I wonder why they did not leverage their partnership w/MSFT to be a true competitor to Google?
This is clearly a direct attack on Google's search business. Remember, Google released it's "Search Plus Your World" in an attempt to better compete with Facebook's more personlized touch. We've seen how little Google+ is used at this point, so you can imagine that the folks in Mountain View are a bit concerned.
Facebook has tried a ton of tactics to better compete with Google and increase revenue, but I feel like they are still struggling. Yet I'm sure this search product will have its growing pains but could be really successful if nutured properly.
I think Facebook should use some better examples in selling it. The one I keep hearing repeated as a soundbite on the news is that it will "let you find which cities your friends are in" or something lame like that.
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