An LLM-based re-ranking layer over SVD/SVD++ improves offline rating and ranking metrics on MovieLens-Latest-Small, but evaluation and baseline gaps limit the strength of the claim.
https://anonymous.4open
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms
An LLM-based re-ranking layer over SVD/SVD++ improves offline rating and ranking metrics on MovieLens-Latest-Small, but evaluation and baseline gaps limit the strength of the claim.