Points-of-interest recommendation based on convolution matrix factorization-Reference-Cited by-同舟云学术

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Points-of-interest recommendation based on convolution matrix factorization

Published:2017-12-05 Issue:8 Volume:48 Page:2458-2469
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Xing Shuning,Liu Fangai^ORCID,Zhao Xiaohui,Li Tianlai

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Open Research Fund from Shandong Provincial Key Laboratory of Computer Network

Innovation Fundation of Science and Technology Development Center of Ministry of Education and New H3C Group

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-1103-0/fulltext.html

Reference36 articles.

1. Lu J, Wu D, Mao M et al (2015) Recommender system application developments: a survey. Decis Support Syst 74(C):12–32

2. Bobadilla J, Ortega F, Hernando A (2013) Recommender systems survey. Knowl-Based Syst 46 (1):109–132

3. Toledo RY, Martinez L (2017) Fuzzy tools in recommender systems: a survey. Int J Comput Intell Syst 10(1):776–803

4. Foursquare Available online: http://foursquare.com . Accessed 15 May 2017

5. Liu X, Liu Y, Aberer K et al (2013) Personalized point-of-interest recommendation by mining users’ preference transition. In: Proceedings of the 22st ACM International conference on conference on information and knowledge management. San Francisco, pp 733–738

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