Optimal Transport Enhanced Cross-City Site Recommendation

Author:

Li Xinhang1ORCID,Zhao Xiangyu2ORCID,Wang Zihao3ORCID,Duan Yang4ORCID,Zhang Yong1ORCID,Xing Chunxiao1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. City University of Hong Kong, Hong Kong, Hong Kong

3. HKUST, Hong Kong, China

4. UIUC, Urbana-Champaign, IL, USA

Funder

APRC - CityU New Research Initiatives

Research Impact Fund

CCF-Ant Research Fund

Ant Group Research Fund

CCF-Tencent Open Fund

Tencent Rhino-Bird Focused Research Program

Hong Kong ITC Innovation and Technology Fund Midstream Research Programme for Universities Project

Hong Kong Environmental and Conservation Fund

Kuaishou

SIRG - CityU Strategic Interdisciplinary Research Grant

Huawei Innovation Research Program

CityU - HKIDS Early Career Research Grant

CCF-BaiChuan-Ebtech Foundation Model Fund

Publisher

ACM

Reference61 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. Gromov-Wasserstein Alignment of Word Embedding Spaces

3. The generalized maximal covering location problem

4. Multicategory Classification by Support Vector;Bredensteiner Erin J.;Machines. Comput. Optim. Appl.,1999

5. Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Gregory N. Hullender. 2005. Learning to rank using gradient descent. In Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 (ACM International Conference Proceeding Series), Vol. 119. ACM, 89--96.

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