Li-Li Chen

Multimodal Interest-Shifting Sequence Recommendation with Offline Policy Optimization and Drift-Aware Representation Learning

The reported results indicate competitive public-data sequential ranking under the stated protocol, together with a reproducible and inference-safe evaluation design, and the practical value of the method lies in reaching, and in several comparisons, significantly exceeding, the accuracy of heavyweight multimodal-LLM-s...