Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks-Reference-Cited by-同舟云学术

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Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks

Published:2020-01 Issue: Volume:373 Page:56-69
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xiong Xi^ORCID,Qiao Shaojie^ORCID,Han Nan,Xiong Fei^ORCID,Bu Zhan^ORCID,Li Rong-Hua,Yue Kun,Yuan Guan

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. SocialMix: a familiarity-based and preference-aware location suggestion approach;Qiao;Eng. Appl. Artif. Intell.,2018

2. Exploiting the roles of aspects in personalized POI recommender systems;Baral;Data Min. Knowl. Discov.,2018

3. S. Zhao, I. King, M.R. Lyu, A survey of point-of-interest recommendation in location-based social networks, arXiv:1607.00647 (2016).

4. Topological influence-aware recommendation on social networks;Li;Complexity,2019

5. A survey of heterogeneous information network analysis;Shi;IEEE Trans. Knowl. Data Eng.,2017

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