诺库维普

Exploiting the Dynamic Mutual Influencefor Predicting Social Event Participation 2021-03-24 12:39:16

In this paper, we investigated how to exploit the dynamic mutual influence for enhancing the prediction of social event participation. A unique characteristic of our method is that the social influence is integrated into the threshold calculation for the discriminant function, which reflects the dyn... || 用户组/社交影响；动态阈值学习；长期决定可能由于偏好、短期决定可能仅仅因为社交因素；优化函数设计类；非神经网络设计; || Tong Xu; Hui Xiong...

Improving Sequential Recommendation with Knowledge-Enhanced Memory Network 2021-01-21 16:07:51

With the revival of neural networks, many studies try to adapt powerful sequential neural models, i.e., Recurrent Neural Networks (RNN), to sequential recommendation. RNN-based networks encode historical interaction records into a hidden state vector. Although the state vector is able to encode se... || 序列推荐系统+ 知识图谱; || Jin Huang...

Next-item Recommendation with Sequential Hypergraphs 2020-12-24 12:49:53

假设检验; Sequential GCN; 基于会话的GCN；Residual Gating; hyperrec; || Jianling Wang...

Intent Preference Decoupling for User Representation on Online Recommender System 2020-12-23 15:42:45

意图建模；intention；meta-learning...

Neural Tensor Model for Learning Multi-Aspect Factorsin Recommender Systems 2020-12-21 14:30:47

生成对抗学习；Adversarial；神经网络复杂度分析；; || Huiyuan ChenandJing Li...

Memory Augmented Neural Model for Incremental Session-based Recommendation 2020-12-20 14:11:52

数据集；YOOCHOOSE；DIGINETICA；时间复杂度；计算效率分析; || Fei Mi...

WWW 23

Austin, Texas, USA,

AAAI 23

Washington, DC, USA,

SIGIR2022

Madrid, Spain, July 11th to 15th, 2022

WSDM2023

TBD,

IJCAI2022

Austria, July 23-29, 2022