Re:Show HN: Findmelike – Bayesian visual search for art
by glutamate on Wednesday September 17, 2014 @05:02AM
(#8329170)
Thanks Ben.
On the programming side:
* 100% Haskell. Even our post-install script in the packages we build for the server are in Haskell.
* Use Spock and postgresql-simple
* 95% of functionality is in a library which is written in Nice Haskell - e.g. all functions are total, type safety where it makes sense.
* Library consists of data types, pure functions, and functions that live in a DB monad. All code is decoupled from the request-response server implementation.
* Front-end in AngularJS
On the statistics/learning side:
* We apply Bayes' theorem every time you press that green "Next" button. There is a statistical model for your choices based on your ultimate preferences, which we estimate.
* Lots of tricks to bring this inference down to 50ms on a modest CPU and to maximise information yield from user interaction.
More examples of this choice paradigm coming in the next few weeks.
On the programming side:
* 100% Haskell. Even our post-install script in the packages we build for the server are in Haskell.
* Use Spock and postgresql-simple
* 95% of functionality is in a library which is written in Nice Haskell - e.g. all functions are total, type safety where it makes sense.
* Library consists of data types, pure functions, and functions that live in a DB monad. All code is decoupled from the request-response server implementation.
* Front-end in AngularJS
On the statistics/learning side:
* We apply Bayes' theorem every time you press that green "Next" button. There is a statistical model for your choices based on your ultimate preferences, which we estimate.
* Lots of tricks to bring this inference down to 50ms on a modest CPU and to maximise information yield from user interaction.
More examples of this choice paradigm coming in the next few weeks.