Z Liu, L Yang, Z Fan, H Peng, PS Yu - arXiv preprint arXiv:2111.10778, 2021 - arxiv.org
Recommender systems have become prosperous nowadays, designed to predict users' potential interests in items by learning embeddings. Recent developments of the Graph …
Z Liu, L Yang, Z Fan, H Peng, PS Yu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Recommender systems have become prosperous nowadays, designed to predict users' potential interests in items by learning embeddings. Recent developments of the Graph …
Z LIU, L YANG, Z FAN, HAO PENG, PS YU - 2022 - yangliangwei.github.io
The developments of Recommender Systems (RSs)[9, 28, 30, 40, 65] become prosperous nowadays. A well-designed recommender system is able to predict users' potential interests …
Z LIU, L YANG, Z FAN, HAO PENG… - arXiv preprint arXiv …, 2021 - penghao-bdsc.github.io
Fig. 1. Centralized learning (a) and federated learning (b) for social recommendation. The centralized learning trains the model with all the user privacy data, ie, both social …
Z LIU, L YANG, Z FAN, HAO PENG, PS YU - 2022 - researchgate.net
The developments of Recommender Systems (RSs)[9, 28, 30, 40, 65] become prosperous nowadays. A well-designed recommender system is able to predict users' potential interests …