AR-Miner: Mining informative reviews for developers from mobile app marketplace

• Main Authors: CHEN, Ning, LIN, Jialiu, HOI, Steven C. H., XIAO, Xiaokui, ZHANG, Boshen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: user feedback; mobile application; user reviews; data mining; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2323; https://ink.library.smu.edu.sg/context/sis_research/article/3323/viewcontent/AR_Miner_Mining_Informative_Reviews_for_Developers_from_Mobile_App_Marketplace.pdf
• Institution: Singapore Management University

With the popularity of smartphones and mobile devices, mobile application (a.k.a. “app”) markets have been growing exponentially in terms of number of users and downloads. App developers spend considerable effort on collecting and exploiting user feedback to improve user satisfaction, but suffer fro...