A Logistic-Regression-Based Reduced Model for Predicting Online News Popularity-Reference-Cited by-同舟云学术

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A Logistic-Regression-Based Reduced Model for Predicting Online News Popularity

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
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Author:

Lou Lan¹,Wang JingPing²,Liu XinYa³

Affiliation:

1. University of Toronto,The Department of Computer and Mathematical Sciences,Toronto,Canada

2. Wuhan University of Technology,College of Automation,Wuhan,China

3. Harbin Institute of Technology,The Department of Computer Science and Technology,Shen Zhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336570/10336571/10336574.pdf?arnumber=10336574

Reference15 articles.

1. Classification of News Articles for Learning Using the K-Nearest Neighbor Algorithm

2. Perbandingan Normalisasi Data untuk Klasifikasi Wine Menggunakan Algoritma K-NN

3. Online News Popularity Prediction

4. Predicting the Popularity of Online News using Social Features

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