An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining
المؤلفون المشاركون
Manoharan, Saravanapriya
Senthilkumar, Radha
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-31
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Manoharan, Saravanapriya& Senthilkumar, Radha. 2020. An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138748
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Manoharan, Saravanapriya& Senthilkumar, Radha. An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138748
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Manoharan, Saravanapriya& Senthilkumar, Radha. An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138748
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138748
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر