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Meta|Learning Enhanced Neural ODE for Citywide Next POI ...


Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

In this paper, we propose a novel meta-learning enhanced neural ordinary differential equation (ODE) method, namely METAODE, which models city-invariant ...

Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

In this paper, we propose a novel meta-learning enhanced neural ODE method, namely. METAODE, for citywide next POI recommendation. It has two ...

Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

In this paper, we propose a novel meta-learning enhanced neural ODE method, namely. METAODE, for citywide next POI recommendation. It has two attractive ...

Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

摘要. Recommending citywide POIs where users would visit in the next future benefits many location-based businesses and ind.

Meta-learning Enhanced Next POI Recommendation by Leveraging ...

Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from ... Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation.

Meta-learning Enhanced Next POI Recommendation by Leveraging ...

Tan, H., et al.: Meta-learning enhanced neural ode for citywide next poi recommendation. In: MDM, pp. 89–98. IEEE (2021). Google Scholar. [16].

Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

Abstract:Recommending citywide POIs where users would visit in the next future benefits many location-based businesses and individuals.

Meta-learning enhanced next POI recommendation by leveraging ...

Abstract page for arXiv paper 2308.09309: Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities.

Meta-learning Enhanced Next POI Recommendation by Leveraging ...

15. go back to reference Tan, H., et al.: Meta-learning enhanced neural ode for citywide next poi recommendation. In: MDM, pp. 89–98. IEEE (2021) Tan, H ...

Meta-Learning Enhanced Neural ODE for Citywide Next POI ... - dblp

Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi: Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation.

arXiv:2308.09309v1 [cs.IR] 18 Aug 2023

Tan, H., et al.: Meta-learning enhanced neural ode for citywide next poi recom- mendation. In: MDM. pp. 89–98. IEEE (2021). 16. Wang, J., et ...

Dissecting Neural ODEs | Connected Papers Search

Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing ...

Modeling Long and Short Term User Preferences by Leveraging ...

Meta-learning enhanced neural ODE for citywide next POI recommendation. In Proceedings of the 2021 22nd IEEE International Conference on ...

Urban flow prediction with spatial–temporal neural ODEs

Citywide traffic flow prediction – a problem that leverages spatial–temporal data measured by various sensors to predict traffic patterns – has drawn increasing ...

Counterfactual User Sequence Synthesis Augmented with ... - IJCAI

A study [Tan et al., 2021] leverages meta-learning enhanced neural ODEs to extract dynamic us- ... Meta-learning en- hanced neural ode for citywide next poi ...

‪Haining Tan‬ - ‪Google 学术搜索‬

Meta-learning enhanced neural ODE for citywide next POI recommendation. H Tan, D Yao, T Huang, B Wang, Q Jing, J Bi.

Content-Aware Few-Shot Meta-Learning for Cold-Start ... - NCBI

Meta-learning enhanced neural ODE for citywide next POI recommendation; Proceedings of the 2021 22nd IEEE International Conference on Mobile ...

Baoli Wang's research works | Chinese Academy of Sciences and ...

Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices · Meta-Learning Enhanced Neural ODE for Citywide Next POI ...

Di Yao | Semantic Scholar

Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation ... A novel meta-learning enhanced neural ordinary differential equation (ODE) ...

‪Di Yao‬ - ‪Google Scholar‬

2018. Meta-learning enhanced neural ODE for citywide next POI recommendation. H Tan, D Yao, T Huang, B Wang, Q Jing, J Bi. 2021 22nd IEEE International ...