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SmartData Collective > Big Data > Data Mining > My6Sense: a Twitter filter
Data Mining

My6Sense: a Twitter filter

StephenBaker1
StephenBaker1
3 Min Read
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How do you figure out what to pay attention to in the avalanche of digital information? One tool I’ve been trying out for the last month or so is My6Sense, an application developed by the Israeli company of the same name, founded by serial entrepreneur CEO Barak Hachamov.

From the feeds you subscribe to and your behavior on line, My6Sense comes up with a selection of blog posts, news stories and updates and Tweets that should be most relevant to each person. The more you use it, the smarter it gets. I have it on my iTouch, and it’s quite good. It would be better if I had an iPhone, because it would see more of my activity.

Now, at LeWeb, My6Sense is unveiling MyTweetSense, which filters our Twitter streams. I’m wondering about this one, because I enjoy the serendipity of Twitter. But I’ll gladly try it out. (Here’s Digital Beat’s coverage.)

I’m fascinated by the potential of tools like My6Sense, and the data that will eventually be able to feed the services. Geography and the behavior of friends are naturals. But how do you figure out which are the most meaningful friends? The area for research is limitless. I had such a good conversation with Hachamov when …

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How do you figure out what to pay attention to in the avalanche of digital information? One tool I’ve been trying out for the last month or so is My6Sense, an application developed by the Israeli company of the same name, founded by serial entrepreneur CEO Barak Hachamov.

From the feeds you subscribe to and your behavior on line, My6Sense
comes up with a selection of blog posts, news stories and updates and
Tweets that should be most relevant to each person. The more you use
it, the smarter it gets. I have it on my iTouch, and it’s quite good.
It would be better if I had an iPhone, because it would see more of my
activity.

Now, at LeWeb, My6Sense is unveiling MyTweetSense,
which filters our Twitter streams. I’m wondering about this one,
because I enjoy the serendipity of Twitter. But I’ll gladly try it out.
(Here’s Digital Beat’s coverage.)

I’m fascinated by the potential of tools like My6Sense, and the data
that will eventually be able to feed the services. Geography and the
behavior of friends are naturals. But how do you figure out which are
the most meaningful friends? The area for research is limitless. I had
such a good conversation with Hachamov when he visited me at
BusinessWeek that he ran off and left his laptop in my office.

I’ll try TwitterSense and report in a week or so. Link to original post

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