research-article

An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining

Authors:

Saravanapriya Manoharan,

Radha Senthilkumar Academic Editor:

José Alfredo Hernández-PérezAuthors Info & Claims

Computational Intelligence and Neuroscience, Volume 2020

https://doi.org/10.1155/2020/3791541

Published: 01 January 2020 Publication History

Abstract

Recommendation of a relevant and suitable news article is an essential but a challenging task due to changes in the user interest categories over time. Moreover, the Internet technology provides abundant news articles from a huge amount of resources. Meanwhile, nowadays, many people are confronted with viral news articles through social media cost-free without considering the news sites. Therefore, mining of social media for addressing such viral news articles has become another key challenge. To overcome the above challenges, this paper proposes fuzzy logic approach for predicting users’ diversified interest and its categories by analysing their implicit user profile. Depending on users’ interest categories, the viral news articles and their categories were determined and analysed through mining social media feeds-Facebook and Twitter. Furthermore, fresh news articles are retrieved from news feeds incorporated with retrieved viral news articles provided as recommendation with respect to users’ diversified interest. The performance of the proposed approach for predicting overall users’ interest for all categories attained 84.238%, and recommendation accuracy from News feed, Facebook, and Twitter attained 100%, 90%, and 100% with respect to users’ interest categories.

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Cited By

Chen JZhou YLv L(2023)Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysisEducation and Information Technologies10.1007/s10639-022-11173-728:1(741-769)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1007/s10639-022-11173-7
Huang L(2022)Application Research of Manuscript Writing Robot Based upon Laser Sensor in News Dissemination FieldWireless Communications & Mobile Computing10.1155/2022/43725272022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4372527
Guo S(2021)Micromedia News Dissemination Impact Assessment Integrated with Personalized Recommendation AlgorithmAdvances in Multimedia10.1155/2021/56218642021Online publication date: 7-Dec-2021
https://dl.acm.org/doi/10.1155/2021/5621864

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Information & Contributors

Information

Published In

cover image Computational Intelligence and Neuroscience

Computational Intelligence and Neuroscience Volume 2020, Issue

2020

2081 pages

ISSN:1687-5265

EISSN:1687-5273

Issue’s Table of Contents

Copyright © 2020 Saravanapriya Manoharan and Radha Senthilkumar.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

Hindawi Limited

London, United Kingdom

Publication History

Published: 01 January 2020

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Cited By

Chen JZhou YLv L(2023)Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysisEducation and Information Technologies10.1007/s10639-022-11173-728:1(741-769)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1007/s10639-022-11173-7
Huang L(2022)Application Research of Manuscript Writing Robot Based upon Laser Sensor in News Dissemination FieldWireless Communications & Mobile Computing10.1155/2022/43725272022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4372527
Guo S(2021)Micromedia News Dissemination Impact Assessment Integrated with Personalized Recommendation AlgorithmAdvances in Multimedia10.1155/2021/56218642021Online publication date: 7-Dec-2021
https://dl.acm.org/doi/10.1155/2021/5621864

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