Logistics Audience Expansion via Temporal Knowledge Graph-Reference-Cited by-同舟云学术

Logistics Audience Expansion via Temporal Knowledge Graph

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Yan Hua¹^ORCID,Ge Yingqiang²^ORCID,Wang Haotian³^ORCID,Zhang Desheng²^ORCID,Yang Yu¹^ORCID

Affiliation:

1. Lehigh University, Bethlehem, PA, USA

2. Rutgers University, Piscataway, NJ, USA

3. JD Logistics, Beijing, China

Funder

Science and Technology Innovation 2030 - Major Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614695

Reference56 articles.

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3. Controllable Multi-Interest Framework for Recommendation

4. Gromit Yeuk-Yin Chan , Tung Mai , Anup B Rao , Ryan A Rossi , Fan Du , Cláudio T Silva , and Juliana Freire . 2021 . Interactive Audience Expansion On Large Scale Online Visitor Data . In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2621--2631 . Gromit Yeuk-Yin Chan, Tung Mai, Anup B Rao, Ryan A Rossi, Fan Du, Cláudio T Silva, and Juliana Freire. 2021. Interactive Audience Expansion On Large Scale Online Visitor Data. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2621--2631.

5. Carlos Daganzo . 2005. Logistics systems analysis . Springer Science & Business Media . Carlos Daganzo. 2005. Logistics systems analysis. Springer Science & Business Media.

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