Upper confidence bound integrated genetic algorithm‐optimized long short‐term memory network for click‐through rate prediction-Reference-Cited by-同舟云学术

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Upper confidence bound integrated genetic algorithm‐optimized long short‐term memory network for click‐through rate prediction

Published:2022-03-03 Issue:3 Volume:38 Page:475-496
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stoch Models Bus & Ind

Author:

Souissi Bilel¹^ORCID,Ghorbel Ahmed²

Affiliation:

1. MODILS Laboratory, Department of Quantitative Methods, Faculty of Economics and Management University of Sfax Sfax Tunisia

2. CODECI Laboratory, Department of Quantitative Methods, Faculty of Economics and Management University of Sfax Sfax Tunisia

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2671

Reference61 articles.

1. Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum

2. Big data technologies: a survey;Oussous A;J King Saud Univ Comput Inf Sci,2018

3. BorgiT ZoghlamiN AbedM.Big data for transport and logistics: a review. Proceedings of the 2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET); 2017:44‐49; IEEE.

4. Agile Big Data Analytics for Web-Based Systems: An Architecture-Centric Approach

5. Management of medical and health big data based on integrated learning-based health care system: A review and comparative analysis

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