Mark Zuckerberg just took to a presentation
where Graph Search was announced to a lot of
excitement, at least amongst Facebookers.
Dubbed “the third pillar” of Facebook, alongside
the News Feed and Timeline features, Graph
Search is the internal search engine of the social
“Graph Search is designed to show you the
answer and not links to answers,” seems to be
the motto with which Facebook will differentiate
itself from Google, though Mountain View has
been doing a similar thing with G+ results.
The new “pillar” is a way to make sense and use
more thoroughly the ragtag information Facebook
users, and especially your friends generate all day
every day – to make sense of all those photos,
comments, likes and check-ins for the next time
you need something specific.
It is basically a more curated approach to
search, going through people you might trust
most, or who share your point of view and
interests, and you know the way they think and
function, so next time you need to go to the coast, you search who of your friends lives there,
so you can crash on the couch.
Just kidding, but the idea is to ask things in a natural
and more intuitive way, based on what is basically
a bunch of filters for your friends interests,
whereabouts, workplaces and so on, from where
you can derive useful information. Graph Search
seems to be in an early stage of development, so
for now you can look for things like people (with
priority given to your top contacts), places,
photos and videos (organized by themes such as
weddings or best party shots, for instance, based
on the comments), as well as people’s interests,
so you can quickly find those available for Pirates
of the Carribean 5 moviegoing at this very
The blue Facebook bar we are used to seem
replaced with a search field, and natural language
processing is used for the questions, so you don’t
have to focus much on the way you type it in.
You can use it for just connecting, though, like
asking for friends of friends who are single and
happen to be in the city you’ll be visiting, and you
can further refine by education and so on.
Sounds promising, but we’ll see how it does in
Image Courtesy: The Verge