Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate (Nov, 10.1007/s10479-021-04384-7, 2021)

Journal article

Open access

Peer reviewed

P. C. D. Kalaivaani, V. E. Sathishkumar, Wesam Atef Hatamleh, Kamel Dine Haouam, B. Venkatesh and Dirar Sweidan

Annals of operations research

02/12/2021

Abstract

Operations Research & Management Science

Science & Technology

Technology

url

https://doi.org/10.1007/s10479-021-04466-6View

Published (Version of record) Open

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Title: Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate (Nov, 10.1007/s10479-021-04384-7, 2021)
Creators - without role: P. C. D. Kalaivaani - Kongu Engn Coll, Dept Comp Sci & Engn, Erode 638060, Tamil Nadu, India
V. E. Sathishkumar - Sunchon National University
Wesam Atef Hatamleh - King Saud University
Kamel Dine Haouam - King Saud University
B. Venkatesh - Vignan's Foundation for Science, Technology & Research
Dirar Sweidan - University of Skövde
Publication Details: Annals of operations research
Publisher: Springer Nature
Number of pages: 1
Identifiers: 9947536408331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article