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.
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.