Self-supervised representation learning for trip recommendation-Reference-Cited by-同舟云学术

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Self-supervised representation learning for trip recommendation

Published:2022-07 Issue: Volume:247 Page:108791
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Gao Qiang^ORCID,Wang Wei^ORCID,Zhang Kunpeng,Yang Xin^ORCID,Miao Congcong^ORCID,Li Tianrui^ORCID

Funder

National Natural Science Foundation of China

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. F. Yu, L. Cui, W. Guo, X. Lu, Q. Li, H. Lu, A category-aware deep model for successive poi recommendation on sparse check-in data, in: Proceedings of the Web Conference 2020, 2020, pp. 1264–1274.

2. Attentional memory network with correlation-based embedding for time-aware POI recommendation;Shi;Knowl.-Based Syst.,2021

3. Y. Wu, D. Lian, S. Jin, E. Chen, Graph convolutional networks on user mobility heterogeneous graphs for social relationship inference, in: IJCAI, 2019, pp. 3898–3904.

4. Self-supervised human mobility learning for next location prediction and trajectory classification;Zhou;Knowl.-Based Syst.,2021

5. A multi-task learning approach for improving travel recommendation with keywords generation;Chen;Knowl.-Based Syst.,2021

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1. Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI;Spatial Information Research;2024-08-31

2. Analyzing and Mitigating Repetitions in Trip Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources;Annals of Operations Research;2024-06-04

4. Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data;Information Processing & Management;2024-05

5. Research on System Development of Spatial Clustering in Tourism Recommendation;Applied Mathematics and Nonlinear Sciences;2024-01-01

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