Sep 15, 2022 · In this paper, we propose a Spatiotemporal Graph Neural Network (SGNN) model for the session-based recommendation, which can effectively simulate the users' ...
Sep 21, 2022 · Extensive experiments on two public datasets show that the proposed SGNN model consistently outperforms the comparative methods interns of ...
Session-based recommendation (SBR) aims to recommend items based on user behaviors in a session. For the online life service platforms, such as Meituan, ...
In this paper, we propose a Spatiotemporal Graph Neural Network (SGNN) model for the session-based recommendation, which can effectively simulate the users' ...
Oct 4, 2023 · The idea is to supplement the GNN-based main supervised recommendation task with the temporal representation via an auxiliary cross-view ...
Apr 9, 2022 · In this paper, we propose a Spatiotemporal Graph Neural Network (SGNN) model for the session-based recommendation, which can effectively ...
Sep 27, 2024 · This indicates that proposed model can better understand contextual user information, and improve the user experience in recommendation systems.
Sequential recommendation with user memory networks. In Proceedings of the eleventh ACM international conference on web search and data mining (pp. 108–116).
We model all session sequences as session graphs. Then, each session graph is proceeded one by one and the resulting node vectors can be obtained through a ...
Missing: Spatiotemporal | Show results with:Spatiotemporal
Jun 7, 2022 · Session-based recommendation (SBR) is a challenging task, aiming at recommending items according to the behavior of anonymous users.