CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users-Reference-Cited by-同舟云学术

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Xin Haoran¹,Lu Xinjiang²,Zhu Nengjun³,Xu Tong¹,Dou Dejing²,Xiong Hui⁴

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Baidu Research, Beijing, China

3. Shanghai University, Shanghai, China

4. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

Natural Science Foundation of China

Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone

Shanghai Youth Science and Technology Talents Sailing Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531949

Reference60 articles.

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3. Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence . Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence .

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5. DeepMove

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