Yes definitely not. But I think this could be a legitimately good use case if it were implementable. Filtering based on keywords will throw away papers of interest, while a recommendation algorithm wouldn't give you much control over content. But a language model could probably do a decent job of ranking a days worth of papers based on relevance to a short description of your research interests.

I'm in a field where there are 50+ postings a day, but only 5-10% are relevant to my focus. A good filter would save me a lot of tedium.

But OP says it wouldn't be sustainable to implement, so that's that. Maybe will try this myself and see how it goes.

Exactly, I think that in this case using ML models that are experts in papers can be more useful and that type of models can run locally so it's the best option.