NDLI: Incorporating popularity in a personalized news recommender system

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Incorporating popularity in a personalized news recommender system

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Nirmal Jonnalagedda Susan Gauch Kevin Labille Sultan Alfarhood
Abstract	Online news reading has become a widely popular way to read news articles from news sources around the globe. With the enormous amount of news articles available, users are easily overwhelmed by information of little interest to them. News recommender systems help users manage this flood by recommending articles based on user interests rather than presenting articles in order of their occurrence. We present our research on developing personalized news recommendation system with the help of a popular micro-blogging service, “Twitter.” News articles are ranked based on the popularity of the article identified from Twitter's public timeline. In addition, users construct profiles based on their interests and news articles are also ranked based on their match to the user profile. By integrating these two approaches, we present a hybrid news recommendation model that recommends interesting news articles to the user based on their popularity as well as their relevance to the user profile.
Related Links	https://peerj.com/articles/cs-63.pdf https://peerj.com/articles/cs-63/
e-ISSN	23765992
DOI	10.7717/peerj-cs.63
Journal	PeerJ Computer Science
Volume Number	2
Language	English
Publisher	PeerJ Inc.
Publisher Date	2016-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Electronic computers. Computer science Twitter Personalized News Recommendation News Recommender Systems User Profile
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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