A novel POI recommendation method based on trust relationship and spatial–temporal factors-Reference-Cited by-同舟云学术

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A novel POI recommendation method based on trust relationship and spatial–temporal factors

Published:2021-07 Issue: Volume:48 Page:101060
ISSN:1567-4223
Container-title:Electronic Commerce Research and Applications
language:en
Short-container-title:Electronic Commerce Research and Applications

Author:

Xu Chonghuan,Ding Austin Shijun,Zhao Kaidi

Funder

Zhejiang Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference51 articles.

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

2. Consumer surplus in the digital economy: estimating the value of increased product variety at online booksellers;Brynjolfsson;Manage. Sci.,2003

3. Integrating spatial and temporal contexts into a factorization model for POI recommendation;Cai;Int. J. Geogr. Inf. Sci.,2018

4. A study of neighbour selection strategies for POI recommendation in LBSNs;Carlos;J. Inf. Sci.,2018

5. Chen, Z.-Y., Fan, Z.-P., Sun, M. 2016. A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations. Eur. J. Operat. Res. 255(116): 110–120.

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