Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate Prediction

[PDF] arxiv.org

Robust Representation Learning for Unified Online Top-K Recommendation

M Lu, Y Jiang, H Dong, Q Li, Z Xu, Y Liu, L Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
In large-scale industrial e-commerce, the efficiency of an online recommendation system is
crucial in delivering highly relevant item/content advertising that caters to diverse business …
相关文章 所有 2 个版本

Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior Recommendation

N Liu, S Meng, Y Jiang, Q Li, X Xu, L Qi… - … Conference on Database …, 2024 - Springer
In most real-world recommendation scenarios, there are multiple types of behaviors that
tend to follow a specific chain of behaviors (eg, view->-cart-> collect-> purchase). To forecast …
相关文章