Exjobbsförslag från företag

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Förslaget inkom 2010-05-21

Thesis: User Profile Anonymization

OBS! ANSÖKNINGSTIDEN FÖR DETTA EXJOBB HAR LÖPT UT.
Recommendations are usually based on user ratings and logs. These data may contain sensitive user information. To preserve user privacy, user IDs are usually replaced with random numbers. However, this kind of anonymization method is not good enough to protect user privacy. User information can still be mined from the remaining user data.
In this thesis project, we will try to find solutions to the privacy and user profile anonymization problem. Some of the possible approaches are user data aggregation, user data classification, and user stereotyping. The student is required to study how different classification resolution affects the recommendation results and develop a shared knowledge learning framework.
This thesis consists of two parts, a theoretical part where the student will investigate different approaches of user profile anonymization and identify their advantages and disadvantages. In the second part, the student is required to verify the findings of the theoretical studies with our available data sets. The thesis work should start in June/July, since this aligns with the overall plan of the project. Please state when you can start in your application.

Qualification:
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 in mathematical analysis and algorithms.
* Good skills in programming languages (Java).
* Experience in machine learning and data mining.
* Since Ericsson is a multinational company, collaboration with other parts of Ericsson is important. International experience is a plus, and fluency in English is a must.


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