Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/107386
Title: Mobile App Recommendation
Authors: LIN TINGJI, JOVIAN
Keywords: recommender systems, mobile apps, twitter, versions, unifying, hybrid
Issue Date: 24-Jun-2014
Citation: LIN TINGJI, JOVIAN (2014-06-24). Mobile App Recommendation. ScholarBank@NUS Repository.
Abstract: In this thesis, we investigate the singularity of the app domain for the purpose of improving app recommendations. By exploiting the app domain?s unique characteristics, we come up with novel recommendation techniques that take advantage of information from social networks, version updates, and a slew of app metadata that is typically underused.
URI: http://scholarbank.nus.edu.sg/handle/10635/107386
Appears in Collections:Ph.D Theses (Open)

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