Guo-Hang Zeng

Calibrating User Preferences for Cross-Domain Recommendation via Target-Guided Representation Mapping

Cross-domain recommendation (CDR) uses auxiliary interactions from a source domain to mitigate data sparsity in a target domain. However, implicit feedback in the source domain may include false positives that distort user representations and transfer misleading preferences to the target domain. We refer to this proble...