Hi all,
The experimental Trending Service[1] will be sunset on December 14th, 2017.
We initially deployed this service to evaluate some real time features in the mobile apps centered on delivering more timely information to users. After some research [2], we found that it did not perform well with users in that use case.
At this point there are no further plans to integrate the service into our products and so we are going to sunset the service to reduce the maintenance burden for some of our teams.
We are going to do this more quickly than we would for a full stable production API as the usage of the end point is extremely low and mostly from our own internal projects. If you this adversely affects any of your work or you have any other concerns, please let the myself or the Reading Infrastructure team know.
Thanks to all the teams involved with developing, deploying, researching and maintaining this service.
P.S. This service was based off of prototypes Jon Robson had developed for detecting trending articles. He will be continuing his work in this area. I encourage you to reach out to him if you were interested in this project.
[1] https://en.wikipedia.org/api/rest_v1/#!/Feed/trendingEdits [2] https://meta.wikimedia.org/wiki/Research:Comparing_most_read_and_trending_ed...
Corey Floyd, 01/12/2017 22:30:
The experimental Trending Service[1] will be sunset on December 14th, 2017.
We initially deployed this service to evaluate some real time features in the mobile apps centered on delivering more timely information to users. After some research [2], we found that it did not perform well with users in that use case.
Thanks! It makes sense to reduce exposure here.
Federico
Just a reminder that this is happening this Thursday. Please update any tools you have before then. Thanks!
On Fri, Dec 1, 2017 at 4:16 PM Federico Leva (Nemo) nemowiki@gmail.com wrote:
Corey Floyd, 01/12/2017 22:30:
The experimental Trending Service[1] will be sunset on December 14th,
We initially deployed this service to evaluate some real time features in the mobile apps centered on delivering more timely information to users. After some research [2], we found that it did not perform well with users in that use case.
Thanks! It makes sense to reduce exposure here.
Federico