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Mobile Application Recommender
Today there are almost 200,000 iPhone apps available in Apples app store, around 50,000 apps available on Android market and new app stores are frequently coming up. To find new and interesting apps among all of these is very hard unless you know the name of the app you are looking for. Therefore a recommender system could help you to discover new apps that might interest you, without need to state the correct search queries.
We are now looking for a student who is interested in creating an app recommender that offers personalized recommendations for a user, based on her previous consumptions. The proposed system will be divided in a server and client part, where the client should be integrated on a mobile device, such as an Android phone.
The thesis will consist of two parts, a theoretical part where the student will investigate existing systems and propose a solution to the problem described. In the other part the student will implement a prototype to verify the findings of the theoretical studies. The thesis work should start in the June, since this aligns with the overall plan of the project. Please state when you can start in your application.
We are looking for applicants doing their M.Sc. studies in computer science, computer networks or related area.
You should have:
* MSc studies in Computer Science, Computer Networks, or related area
* Good knowledge of mathematical analysis and algorithms
* Good skills in programming languages (Java)
* Experience of Android development is a plus
* Since Ericsson is a multinational company, collaboration with other parts of Ericsson is important. International experience is a plus, and fluency in English a must
To apply visit the our web page.
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.