Lianglun Cheng

Feb 14, 2024 | onlinelibrary.wiley.com | Peng Long |Yuhang Wu |Quan Chen |Lianglun Cheng

REFERENCES 1, , , , . Structure-free broadcast scheduling for duty-cycled multihop wireless sensor networks. IEEE Trans Mob Comput. 2021; 21: 4624-4641. 2, . Efficient broadcast scheduling at mobile cloud edges for supporting news-broadcast-on-demand over P2P streaming. Peer Peer Netw Appl. 2022; 15(3): 1345-1356. 3, , . Optimal broadcast scheduling algorithm for a multi-AUV acoustic communication network. IEEE/ACM Trans Netw. 2023; 31: 2058-2069. 4, , , et al.

Sep 27, 2023 | mdpi.com | Ke Xu |Tao Wang |Lianglun Cheng

2. Related WorkThe research on service recommendation models is mainly divided into traditional recommendation models and deep learning recommendation models, although there is a close relationship between the two, and the evolution of the FM model reflects the innovation of different features across methods. This paper primarily addresses lower-order feature interactions and higher-order feature interactions.