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# Background
There are two problems
## 1. Channel Resampling
Despite that fact that the list of featured channels is quite long: https://www.notion.so/joystream/Setting-channel-weight-by-YPP-…
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The feature to supply a vector of top-*N*-list lengths is very nice. Not so much for efficiency but certainly for experimental consistency, it would be great to have a similar feature for the "given-*…
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### *What* is affected by this bug?
Many notebooks (surprise deep dive, ncf deep dive, vw deep dive)
follow a similar patter for top-k evaluation that results in duplicate code and extra effort:
1)…
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Add the ability to provide additional information in the request response, such as predicted probabilities or other useful information, through a verbose parameter when submitting the request.
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Thank you for this extremely helpful package, which I found over a medium post and recommendations by a colleague.
Since I discovered distfit I was eager to try the parametric approach in fitting PDF…
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[Local collaborative autoencoders](https://sci-hub.ru/https://dl.acm.org/doi/abs/10.1145/3437963.3441808)
[Local latent space models for top-n recommendation](https://sci-hub.ru/https://dl.acm.org/do…
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Hi,
It is not clear if we need to follow the prompt template for inference using pipeline as mentioned [here](https://github.com/huggingface/blog/blob/main/llama2.md#how-to-prompt-llama-2) or do w…
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I noticed that the default parameters are being used for the argon2 package, which seem to be a bit below the recommended parameters outlined in the [protocol](https://datatracker.ietf.org/doc/html/dr…
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When I dislike a course, it recommends it to similar users.
``` ruby
class user < ActiveRecord::Base
has_many :courses
recommends :course
end
user1.like(Course.find(2622))
user1.like(Course.find…
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So I've found a way to efficiently generate real-time recommendations with ALS model:
1. Train model & serialize item factors
2. Spawn workers that will work on generating recommendations. In each…