1 code implementation • 31 Jan 2023 • Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
Next, COCO-SBRS adopts counterfactual inference to recommend items based on the outputs of the pre-trained recommendation model considering the causalities to alleviate the data sparsity problem.
no code implementations • 15 Jul 2021 • Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang
The obtained similar sessions are then utilized to complement and optimize the preference representation learned from the current short session by the local module for more accurate next-item recommendations in this short session.
no code implementations • 6 Jan 2020 • Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
To preserve the attribute information, we assume that each node has a hidden embedding related to its assigned block.
no code implementations • 29 Oct 2019 • Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang
Signed network embedding methods aim to learn vector representations of nodes in signed networks.