An Analysis on user profiles and usage preferences for mobile application recommendations

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2015

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Ünal, Perin

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In this thesis, we investigated the relationship between personality features and mobile technology use, particularly the use of traditional communication channels such as voice calls and SMS messaging and rapidly evolving mobile applications, specifically in communication and commerce domains. This was the first study to investigate the relationship between different personality features and different aspects of mobile technology use to this extent. The rapid growth in the mobile application market presents a significant challenge for users in terms of finding interesting and relevant applications. Recommendation systems deal with ends that are consumed by users in which similarity between consumer tastes is generally taken into account. In almost all of the application stores mobile applications are grouped under headings that employ consensus or authority influence strategies such as the most popular, most downloaded, editor’s choice or applications of the day. However, the literature contains limited information about the users’ perception of such influence strategies and the underlying factors that lie beyond the users’ preferences. In this thesis, influence strategies used in mobile application recommendations and the users’ compliance to the recommendations are investigated in an experimental context. Two complementary experiments are conducted; one on the web and the other on a mobile platform. The users’ compliance with mobile application recommendations and the question of how the personality features of users affect their compliance with recommendations are explored in the experiments. Furthermore, this thesis analyses the applications owned by the user, the composition of applications under categories and their relation with personality features. The main contribution of this thesis is to ground the design of recommending systems in an understanding of users’ needs and to provide means for personalization to better address users’ individual differences.

Subject Keywords

Recommender systems (Information filtering)., Information filtering systems., Mobile communication systems., Consumers' preferences., Consumer behavior.

URI

http://etd.lib.metu.edu.tr/upload/12619292/index.pdf
https://hdl.handle.net/11511/25237

Collections

Graduate School of Informatics, Thesis

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Citation Formats

P. Ünal, “An Analysis on user profiles and usage preferences for mobile application recommendations,” Ph.D. - Doctoral Program, Middle East Technical University, 2015.