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Harvard
Gupta, A. (2012) Contextual Reasoning based Mobile Recommender System. (Report - IT University of Göteborg, Chalmers University of Technology and the University of Göteborg , nr: ).

BibTeX
@mastersthesis{
Gupta2012,
author={Gupta, Abhiroop},
title={Contextual Reasoning based Mobile Recommender System},
abstract={With the ever increasing popularity of Smartphone and reducing charges for device and data Mobile applications users are estimated to quadruple in the next three years. With the increase in the number of users Applications in the market are increasing by thousands every day. The Users are flooded with so much of choices that it is hard for them to find appropriate and Suitable apps. Recommender systems can aid the users in discovering new applications in a personalized manner. The purpose of this thesis is to investigate how to enhance the recommendations to a user in the process of discovering new mobile applications by better utilization of context data available through various sensors in a modern day Smartphone. The work of the thesis is divided into three phases where the aim of the first phase is to study related work and related systems to identify promising concepts and features. During the second phase, a prototype system is designed and implemented. The outcome and result of the first two phases is then evaluated and analyzed in the third and final phase. The prototype system integrates an existing mobile app recommender system to add the features of context awareness and context reasoning. The major draw of the thesis is to suitably define context and situations of interests and model them appropriately. Learning techniques are applied to learn these models using the context data generated by the user. The derived situation provides an added parameter in the process of information filtering in a personalized manner.},
year={2012},
series={Report - IT University of Göteborg, Chalmers University of Technology and the University of Göteborg , no: },
}

RefWorks
RT Generic
SR Electronic
ID 163352
A1 Gupta, Abhiroop
T1 Contextual Reasoning based Mobile Recommender System
YR 2012
AB With the ever increasing popularity of Smartphone and reducing charges for device and data Mobile applications users are estimated to quadruple in the next three years. With the increase in the number of users Applications in the market are increasing by thousands every day. The Users are flooded with so much of choices that it is hard for them to find appropriate and Suitable apps. Recommender systems can aid the users in discovering new applications in a personalized manner. The purpose of this thesis is to investigate how to enhance the recommendations to a user in the process of discovering new mobile applications by better utilization of context data available through various sensors in a modern day Smartphone. The work of the thesis is divided into three phases where the aim of the first phase is to study related work and related systems to identify promising concepts and features. During the second phase, a prototype system is designed and implemented. The outcome and result of the first two phases is then evaluated and analyzed in the third and final phase. The prototype system integrates an existing mobile app recommender system to add the features of context awareness and context reasoning. The major draw of the thesis is to suitably define context and situations of interests and model them appropriately. Learning techniques are applied to learn these models using the context data generated by the user. The derived situation provides an added parameter in the process of information filtering in a personalized manner.
T3 Report - IT University of Göteborg, Chalmers University of Technology and the University of Göteborg , no:
LA eng
LK http://publications.lib.chalmers.se/records/fulltext/163352.pdf
OL 30