Rekommendationssystem : En studie om upplevelsen från användarnas perspektiv

Sammanfattning: The digital growth of the 21st century has led to the development and establishment of recommendation systems for digital services. This is to allow users to find relevant content in the vast amount of data that exists. Past research shows that recommendation systems have been explored to a large extent, but that there is considerable knowledge missing regarding its impact on users. With this, we have chosen to examine its filtering and prioritization from the users perspective in order to see how recommendations are perceived and what implications it can bring for the future. The collection of data has been made through qualitative interviews and observations where Spotify’s recommendation systems have been used as foundation. When analysing this data, categorizations have shown results within five overall themes that have contributed to several conclusions. It has been shown that there are differences regarding the perception of integrity and trust between different kinds of recommendations and that there is an extensive obliviousness regarding the different recommendation systems. There is also no common view on the differences in value concerning the various ways to explore in Spotify and all of the participants have expressed dissatisfaction as well as four out of five showing mistrust towards recommendation systems.