Multi-level interaction reranking with user behavior history
As the final stage of the multi-stage recommender system (MRS), reranking directly affects
users' experience and satisfaction, thus playing a critical role in MRS. Despite the …
users' experience and satisfaction, thus playing a critical role in MRS. Despite the …
Utility-Oriented Reranking with Counterfactual Context
As a critical task for large-scale commercial recommender systems, reranking rearranges
items in the initial ranking lists from the previous ranking stage to better meet users' …
items in the initial ranking lists from the previous ranking stage to better meet users' …
Personalized diversification for neural re-ranking in recommendation
Re-ranking, as the final stage of the multi-stage recommender systems (MRS), aims at
modeling the listwise context and the cross-item interactions between the candidate items …
modeling the listwise context and the cross-item interactions between the candidate items …
Tdcm: Transport destination calibrating based on multi-task learning
T Wu, K Zhu, J Mao, M Yang, A Zhou - Joint European Conference on …, 2023 - Springer
Accurate location and address of destination are critical for bulk commodity transportation,
which determines the service quality of the logistics applications such as transport task …
which determines the service quality of the logistics applications such as transport task …
Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation
Sequential medication recommendation is a crucial healthcare application designed to
administer medications in appropriate sequences. While clinical records offer extensive …
administer medications in appropriate sequences. While clinical records offer extensive …