A survey of recommender systems in Twitter

• Main Authors: KYWE, Su Mon, LIM, Ee Peng, ZHU, Feida
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Twitter; Recommender systems; Personalization; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/1696; https://ink.library.smu.edu.sg/context/sis_research/article/2695/viewcontent/SocInfo_12_57.pdf
• Institution: Singapore Management University

Twitter is a social information network where short messages or tweets are shared among a large number of users through a very simple messaging mechanism. With a population of more than 100M users generating more than 300M tweets each day, Twitter users can be easily overwhelmed by the massive amoun...