Incorporating popularity in a personalized news recommender system
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 recommen...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2016-06-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-63.pdf |