Multi-TAP

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation

arXiv:2603.07086v2 Announce Type: replace Abstract: Cross-domain recommendation (CDR) aims to alleviate data sparsity by transferring knowledge across domains, yet existing methods primarily rely on coarse-grained behavioral signals and often overlook intra-domain heterogeneity in user preferences. We propose Multi-TAP, a multi-criteria target-adaptive persona framework that explicitly captures such heterogeneity through semantic persona modeling. To enable effective transfer, Multi-TAP...