Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems-Reference-Cited by-同舟云学术

Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems

Published:2019-12-04 Issue:15 Volume:24 Page:11071-11094
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Ayub Mubbashir,Ghazanfar Mustansar Ali,Mehmood Zahid,Alyoubi Khaled H.,Alfakeeh Ahmed S.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04588-x.pdf

Reference58 articles.

1. Ahmadian P (2015) A reliability-based recommendation method to improve trust-aware recommender systems. Expert Syst Appl 42:7386–7398

2. Alkhammash EH, Jussila J, Lytras MD, Visvizi A (2019) Annotation of smart cities twitter micro-contents for enhanced citizen’s engagement. IEEE Access 7:116267–116276

3. Ar Y, Bostanci E (2016) A genetic algorithm solution to the collaborative filtering problem. Expert Syst Appl 61:122–128

4. Avesani PMAP (2007) Trust-aware recommender systems. In: Proceedings of the 2007 ACM conference on recommender systems, RecSys, 2007, pp 17–24

5. Avesani P, Paolo M, Roberto T (2005) Moleskiing. It: a trust-aware recommender system for ski mountaineering. Int J Infonomics 20:1–10

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities;Electronics;2024-05-31

2. Emerging Perspectives on the Application of Recommender Systems in Smart Cities;Electronics;2024-03-27

3. Cross‐network service recommendation in smart cities;Concurrency and Computation: Practice and Experience;2024-03-18

4. A reinforcement learning recommender system using bi-clustering and Markov Decision Process;Expert Systems with Applications;2024-03

5. Research on Intelligent Push Algorithm of E-Commerce Platform Based on Bipartite Graph Network;E-Commerce Letters;2024