MARS-gym: A Gym Framework to Model, Train, and Evaluate Recommender Systems for Marketplaces Marlesson Santana, Luckeciano Melo, Fernando Camargo, Bruno Brandão, Anderson Soares, Renan Oliveir, and Sandor Caetano
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering Zheda Mai, Ga Wu, Kai Luo, and Scott Sanner
Interactive Knowledge Graph Attention Network for Recommender Systems Li Yang, Shijia E, Shiyao Xu, and Yang Xiang
Enhancing Multi-factor Friend Recommendation in Location-based Social Networks Bassem Samir and Neamat El-Tazi
A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems Qinghong Chen, Huobin Tan, Guangyan Lin, and Ze Wang
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation Yujia Zheng, Siyi Liu, Zekun Li, and Shu Wu
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-baxter-like Equation Ying Liufu, Long Jin, Shuai Li, and Mei Liu
Revenue Maximization using Multitask Learning for Promotion Recommendation Venkataramana Kini and Ashwin Manjunatha
Hybrid GNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation Kai Deng, Jiajin Huang, and Jin Qin
Scenario-aware and Mutual-based Approach for Multi-scenario Recommendation in E-Commerce Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, and Lanfen Lin
Short Presentation Papers:
μ-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems Tomas Sousa Pereira, Carlos Soares, and Tiago Cunha
Attentive-feature Transfer based on Mapping for Cross-domain Recommendation Algorithm Zhen Liu
Cross-session Aware Temporal Convolutional Network for Session Based Recommendation Rui Ye, Qing Zhang, and Hengliang Luo
Efficient Distributed MST based Clustering for Recommender System Ahmad Shahzad and Frans Coenen
GCMCSR:A New Graph Convolution Matrix Complete Method with Side-information Reconstruction Kun Niu, Yicong Yu, Xipeng Cao, and Chao Wang
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders Hangbin Zhang, Raymond Wong, and Victor Chu
