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Giving Away Our Recommendation Engine

blog.mortardata.com

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Re: Giving Away Our Recommendation Engine

#41

Post by wprl »

showerst wrote: post #11
gmisra wrote: post #7

Earlier quoted context omitted.

The code is all released under the Apache 2.0 license, so calling such an action "disingenuous" is itself disingenuous, (imo).

I'm not trying to start a flame war over the use of the word open, and I think it's great that they're releasing code that others can learn from. It's just that making a big press release and blog post that brags about open sourcing, vs the reality that you can't actually do anything substantial with the code without paying for it... it seems off to me. I get what they're trying to do, but to me the whole point of OS…

I can't help but feel that this is akin to complaining that someone gave you the cart, but not the horse. You can buy or build your own horse, or rent someone else's. It doesn't stop the cart from being freely given.

Re: Giving Away Our Recommendation Engine

#42

Post by vertis »

wprl wrote: post #41
showerst wrote: post #11

Earlier quoted context omitted.

I'm not trying to start a flame war over the use of the word open, and I think it's great that they're releasing code that others can learn from. It's just that making a big press release and blog post that brags about open sourcing, vs the reality that you can't actually do anything substantial with the code without paying for it... it seems off to me. I get what they're trying to do, but to me the whole point of OS…

I can't help but feel that this is akin to complaining that someone gave you the cart, but not the horse. You can buy or build your own horse, or rent someone else's. It doesn't stop the cart from being freely given.

s/build/breed/

Re: Giving Away Our Recommendation Engine

#43

Post by contingencies »

stonemetal wrote: post #37
contingencies wrote: post #10

So hang on, what exactly is a recommendation engine? They give examples of LinkedIn ( people you may know ) and Amazon (presumably other people who bought this , so-and-so's list of such-a-subject books ). That makes sense, though the segment of businesses that may actually benefit seems limited. Social stuff, sure. Most of us? What's the minimum recommendable-entity/category-or-user threshold that this makes sense f…

> benefit seems limited. Social stuff, sure. Most of us? Any business where you have a large catalog that users are going to want to filter through. This gives you the ability to offer a shortcut to things they might find interesting. Other examples would be netflix, spotify, app stores, or coursera.

Basically those are all media discovery applications. (PS. I can't think of a single app store experience worth replicating...)

Re: Giving Away Our Recommendation Engine

#44

Post by kldavenport »

olidb2 wrote: post #19
alecsmart1 wrote: post #15

Earlier quoted context omitted.

Can you please suggest why you need a recommendation engine for datadog?

We don't use the recommendation engine but the underlying platform, which makes it really simple to write and run pig jobs. Though the majority of our business deals with real-time data processing, the ability to crunch numbers in batch without dev or ops overhead is attractive and well worth the price to us.

Is this better or similar to Hue?

Re: Giving Away Our Recommendation Engine

#45

Post by stonemetal »

contingencies wrote: post #43
stonemetal wrote: post #37

Earlier quoted context omitted.

> benefit seems limited. Social stuff, sure. Most of us? Any business where you have a large catalog that users are going to want to filter through. This gives you the ability to offer a shortcut to things they might find interesting. Other examples would be netflix, spotify, app stores, or coursera.

Basically those are all media discovery applications. (PS. I can't think of a single app store experience worth replicating...)

Drop the media part and yeah sounds about right. Anything that has a large enough collection of things to need discovery.
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