TME-PSR improves sequential recommendation accuracy and explanation quality by personalizing temporal rhythms, fine-grained interests, and recommendation-explanation alignment using a dual-view time encoder, multihead LRU, and dual-branch mutual information weighting.
Multi-behavior sequential recommendation with temporal graph transformer.IEEE Transactions on Knowl- edge and Data Engineering, 35(6):6099–6112
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
TME-PSR improves sequential recommendation accuracy and explanation quality by personalizing temporal rhythms, fine-grained interests, and recommendation-explanation alignment using a dual-view time encoder, multihead LRU, and dual-branch mutual information weighting.