Change search
ReferencesLink to record
Permanent link

Direct link
Mobile Application Recommender System
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2010 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

With the amount of mobile applications available increasing rapidly, users have to put a lot of effort into finding applications of interest. The purpose of this thesis is to investigate how to aid users in the process of discovering new mobile applications by providing them with recommendations. A prototype system is then built as a proof-of-concept.

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 and extends an existing recommender engine previously used to recommend media items. As a part of the system, an Android application is developed, which observes user actions and presents recommended applications to the user.

In parallel to the development, the system was tested by a small group of users recruited among colleagues at Ericsson. The data generated during this test period is analyzed to show the usefulness of observed user actions over explicit ratings and the dependency on context for application usage.

Place, publisher, year, edition, pages
UPTEC IT, ISSN 1401-5749 ; 10 025
URN: urn:nbn:se:uu:diva-155777OAI: diva2:428092
Educational program
Master of Science Programme in Information Technology Engineering
Available from: 2011-06-29 Created: 2011-06-29 Last updated: 2011-06-29Bibliographically approved

Open Access in DiVA

fulltext(2890 kB)9840 downloads
File information
File name FULLTEXT01.pdfFile size 2890 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 9840 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 596 hits
ReferencesLink to record
Permanent link

Direct link