Analyzing user modeling on twitter for personalized news recommendations

By Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao. User Modeling, Adaptation, and Personalization, 2011

422 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

From chatter to headlines: harnessing the real-time web for personalized news recommendation (2012, background): “[1] propose a more sophisticated user model to support news recommendation for twitter users.”
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data (2019, background): “Many research efforts have also been conducted on Twitter data recently, ranging from information propagation [25, 26] to applications such as Twitter-based early warning systems [27].”
How Twitter is Changing the Nature of Financial News Discovery (2016, background): “While researchers have considered tweet recommendation systems [43, 44, 21, 1, 8], it remains a nontrivial challenge to find the right tweet for the right person at the right time.”
Personalizing LinkedIn Feed (2015, background): “Early research in personalized feed recommendation is to rank homogeneous tweet feeds in Twitter [12, 2, 11, 13, 16, 26, 22, 10].”