Publication

Here you can find scientific publications of Know-Center employees

Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems

E Lacic, D Kowald, M Traub, G Luzhnica, J Simon, E Lex – ACM, 2015 – 9th ACM Conference on Recommender Systems

In this paper, we present work-in-progress on a recommender system based on Collaborative Filtering that exploits location information gathered by indoor positioning systems. This approach allows us to provide recommendations for "extreme" cold-start users with absolutely no item interaction data available, where methods based on Matrix Factorization would not work.…

Application overlapping user profiles to foster reflective learning at work

A Fessl, G Wesiak, G Luzhnica – Proceedings of the 4th Workshop on Awar…, 2014 – M. Kravcik, A. Mikroyannidis, V. Pammer, …

Reflective learning is an important activity of knowledge workers in order to improve future working-behaviours. The insights gained by reflective learning are based on re-experiencing and re-evaluating past working situations. One time- and cost-eff ective way to support reflective learning is the employment of applications that collect data about working processes,…

Towards a mobile sensor framework including EEG sensors

C Brunner, G Müller-Putz, G Luzhnica, A Wertner, V Pammer – Sixth International BCI Conference 2014, 2014

Ubiquitous sensing is gaining increased attention, mostly in the form of mobile phone sensing, as the number of smartphone users is rapidly growing all over the world. Current smartphones are equipped with several powerful sensors (such as accelerometers, GPS sensors, and microphones), which allow for tracking user activities in a…

Contact

Wenn Sie diese Seite nutzen stimmen Sie der Verwendung von Cookies zu mehr Information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close