Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Personalization Engine

Reference number
Coordinator Sveriges Television Aktiebolag
Funding from Vinnova SEK 10 000
Project duration November 2017 - November 2019
Status Completed

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 effects and result

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.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 27 June 2019

Reference number 2017-03627

Page statistics