11–20 of 42 posts
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper to run. All of it (ML, production, monitoring), was custom code.
Almost all of your top-level comments mention you did this
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper to run. All of it (ML, production, monitoring), was custom code.
Almost all of your top-level comments mention you did this
When I finish my current work I will talk about that also. Some of my older work is speech recognition. Download my thesis.
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper to run. All of it (ML, production, monitoring), was custom code.
However, I am wondering is there a recommendation engine as a service, which is similar to algolia available/possible.
I see only 2 players - yusp and recombee.
I'd appreciate any thought you have on this.
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper to run. All of it (ML, production, monitoring), was custom code.
@sadikkapadia - Any idea why Recommendation Engine as a Service has not picked up? I realize that building a use-case specific recommendation engine is unique. However, I am wondering is there a recommendation engine as a service, which is similar to algolia available/possible. I see only 2 players - yusp and recombee. I'd appreciate any thought you have on this.
These kind of services aren't so much exposed to the public and likely don't start at <100 bucks a month, which could be why those services are not that visible. However, there are some e-commerce services going in that direction, such like AgilOne...
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper to run. All of it (ML, production, monitoring), was custom code.
@sadikkapadia - Any idea why Recommendation Engine as a Service has not picked up? I realize that building a use-case specific recommendation engine is unique. However, I am wondering is there a recommendation engine as a service, which is similar to algolia available/possible. I see only 2 players - yusp and recombee. I'd appreciate any thought you have on this.
Technical aspects in how you train your models and such are fun, but way, way down the list of things that are likely to matter in the short to medium term. Like, data scientists are nice to have, but you're not really going to be able to fully utilize them until you have the capability to build, deploy, and test a model at scale. If going third party helps you do this, you probably should.
Earlier quoted context omitted.
@sadikkapadia - Any idea why Recommendation Engine as a Service has not picked up? I realize that building a use-case specific recommendation engine is unique. However, I am wondering is there a recommendation engine as a service, which is similar to algolia available/possible. I see only 2 players - yusp and recombee. I'd appreciate any thought you have on this.
> Any idea why Recommendation Engine as a Service has not picked up? These kind of services aren't so much exposed to the public and likely don't start at <100 bucks a month, which could be why those services are not that visible. However, there are some e-commerce services going in that direction, such like AgilOne...
A simple graph traversal would usually make good recos.