Dec 15, 2020 · In this paper, we propose a novel Social Influence aware and Memory augmented Sequence learning (SIMS) model, on what a user will likely buy/ ...
In this paper, we propose a novel Social. Influence aware and Memory augmented Sequence learning (SIMS) model, on what a user will likely buy/visit next.
A novel Social Influence aware and Memory augmented Sequence learning (SIMS) model, on what a user will likely buy/visit next, is proposed and experimental ...
In this paper, we propose a novel Social Influence aware and Memory augmented Sequence learning (SIMS) model, on what a user will likely buy/visit next.
Online social networks, such as Facebook and Twitter, enable users to share their shopping/travel experiences with their friends. However the influence on ...
Online social networks, such as Facebook and Twitter, enable users to share their shopping/travel experiences with their friends. However the influence on ...
Modeling user interests with online social network influence by memory augmented sequence learning. Y Wang, C Piao, CH Liu, C Zhou, J Tang. IEEE Transactions ...
Dec 9, 2024 · In this paper, we propose to leverage the emerging deep learning techniques for sequential modeling of user interests based on big social ...
Modeling user interests with online social network influence by memory augmented sequence learning. Y Wang, C Piao, CH Liu, C Zhou, J Tang. IEEE Transactions ...
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning. 1 Jan 2021IEEE Transactions on Network Science and ...