runit Reviews

Taste Reviews

runit mentions (7)

• OpenRC is a dependency-based init system for Unix-like systems

  How does it compare to Runit[[0] used by Void Linux? [0]http://smarden.org/runit/. - Source: Hacker News / about 1 year ago

• SystemD vs Runit. Just a suggestion, not fight.

  Still, I can try to give you a rundown of Runit. Essentially, it's an init system that uses init scripts, but it has a bit more structure to improve on the shortcomings of sysvinit. Much like systemd, it also does service management, although in a much less involved way. Like with sysvinit, the task of logging is left to a separate process, though it has its own logging daemon, if you wish to use it (as logging... Source: over 1 year ago

• What manages systemd?

  PID 1 is special. It's the init. Instead of System V init, you can use OpenRC, runit, systemd, s6, or others. Source: over 2 years ago

• How do I use rc.d? and service management in general for KISS

  Of course the original creator's document is great too: runit - a UNIX init scheme with service supervision. Source: about 3 years ago

• How do I use rc.d? and service management in general for KISS

  I learned about it here. http://smarden.org/runit/ It is not long read. Source: about 3 years ago

Taste mentions (4)

• Letterboxd Dating App

  Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago

• In-show bi- and homophobia?

  On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago

• How difficult would it be to build a recommender system for TV shows at scale?

  It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago

• How difficult would it be to build a recommender system for TV shows at scale?

  I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago