|Coordinator||Sveriges Television Aktiebolag|
|Funding from Vinnova||SEK 10 000|
|Project duration||November 2017 - November 2019|
|Call||From analogue to digital 2017 - FashionTech and MediaTech|
Purpose and goal
Based on unique data on digital and mobile news consumption, leading Swedish media houses develop a Personalization Engine based on prescripts analysis and machine learning for user identification and automated customization of news products. This way, any media company can better respond to users unique needs and unique content and functionality situations in order to increase engagement with the user group.
Expected results and effects
The project aim is to develop a prototype of a personalization engine based on analysis of digital behaviour.
Planned approach and implementation
During 2017/2018, a behavioral study of 2000 individuals´ consumption of news via mobile devices (telephone, reading plate, etc.) is being done.In itself, this is a methodology for customer and user surveys for a digital ecosystem. The aim of this project is to analyze data from these two surveys together with a particular in-depth focus on mobile consumption, which has become increasingly important. The analysis will then form the basis of model building, segmentation keys and finally the development of the Personalization Engine.