On the topic of Instagram, is there any news on bringing the hyperlapse solution to Android? I know Microsoft brought a half-measure solution, and it was a bit curious the way they almost seemed to announce it almost like Facebook and Microsoft had each agreed on their respective turf. It had a very unsavory feel to it.
I ask because I was pinged by a VC about working on a team being assembled to run with Gallus. I had never heard of that product before but was blown away with the tech it has already demonstrated in the shadows. My single concern about joining the team is if Facebook stomps in like a gorilla, representing the only real threat.
Interesting that most hashtags don't get more than 3 posts per hour - that breakdown would be a good graph to see! It's also curious that they don't apply some type of seasonal decomposition to the timeseries data; though perhaps that that makes sense with Instagram's particular data.
Nice. I learned a ton with this. Definitely adding the various types of calculations to my reading list. I haven't googled for this yet, but is there an open source hashtag trends detector around? If not, would be pretty cool to use the teachings of this post to build one.
Differentiation between popularity and novelty? What a succinct explanation. Incidentally Twitter originally used popularity, but switched to novelty[1] because Justin Bieber regularly dominated the trending tweets list.
Surprisingly, I've applied most of the mentioned algorithms on real world data while working on some side projects. Realized that even big organizations use fundamental Machine Learning algorithms to get their tasks done. This feels quite reassuring as you don't need a MS/PhD to solve such complex/interesting problems.
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[ 3.6 ms ] story [ 35.6 ms ] threadAnyone who knows where to learn more about the system design they use, with the pre-processor, parser, scorer, and ranker?
How do these interact? What's the respective input and output?
Links to some similar system with more in-depth on this area would be appreciated.
"Every few minutes, a line with the current value for S(h, t) is emitted."
Hard to believe the author didn't notice this...
Maybe just some humor for the trending classification overview?
On the topic of Instagram, is there any news on bringing the hyperlapse solution to Android? I know Microsoft brought a half-measure solution, and it was a bit curious the way they almost seemed to announce it almost like Facebook and Microsoft had each agreed on their respective turf. It had a very unsavory feel to it.
I ask because I was pinged by a VC about working on a team being assembled to run with Gallus. I had never heard of that product before but was blown away with the tech it has already demonstrated in the shadows. My single concern about joining the team is if Facebook stomps in like a gorilla, representing the only real threat.
Interesting that most hashtags don't get more than 3 posts per hour - that breakdown would be a good graph to see! It's also curious that they don't apply some type of seasonal decomposition to the timeseries data; though perhaps that that makes sense with Instagram's particular data.
Also, I found a typo:
> ... to requests comping from the app
(I think that should be 'coming from the app')
[1]http://mashable.com/2010/05/14/twitter-improves-trending-top...