Essays about: "användaraktivitet"

Found 5 essays containing the word användaraktivitet.

1. 1. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Love Marcus; [2023]
   Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE

3. 2. A User-Centric Monitoring System to Enhance the Development of Web-Based Products

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Amanda Törnqvist; Hanna Martinsson; [2023]
   Keywords : Software; Software Development; Server Traffic; Statistical Analysis Tool; Mjukvara; Mjukvaruutveckling; Servertrafik; Statistiskt Analysverktyg;

   Abstract : Many websites and products rely heavily on consumers’ usage habits to maximize profit. Therefore, this project aims to aid product development by analyzing server traffic logs. The proposed solution is a monitoring system focusing on user analytics. READ MORE

4. 3. Using Machine Learning to Detect Customer Acquisition Opportunities and Evaluating the Required Organizational Prerequisites

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Olle Malmberg; Bobby Zhou; [2019]
   Keywords : Consumer decision journey; Customer acquisition Customer relationship management; Machine Learning; Organizational prerequisites; User activity; Random forest; XGBoost; Användaraktivitet; Consumer decision journey; Customer relationship management; Kundförvärv; Maskininlärning; Organisatoriska förutsättningar; Random forest; XGBoost;

   Abstract : This paper aims to investigate whether or not it is possible to identify users who are about change provider of service with machine learning. It is believed that the Consumer Decision Journey is a better model than traditional funnel models when it comes to depicting the processes which consumers go through, leading up to a purchase. READ MORE

5. 4. Churn Prediction using Sequential Activity Patterns in an On-Demand Music Streaming Service

   University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Author : Filip Stojanovski; [2017]
   Keywords : ;

   Abstract : In data-driven companies, churn analysis aims to make use of novel machine learning and data mining techniques for the purpose of better understanding of the customers. The most common approach is to engineer a vast number of features describing users, products, services, and actions, which are then used to infer knowledge by means of machine learning and data mining. READ MORE

6. 5. Mobile Money in developing markets : What should Mobile Money providers consider when trying to drive activity from the already registered user base?

   University essay from KTH/Hållbarhet och industriell dynamik

   Author : Milad Fallah; Johanna Luo; [2014]
   Keywords : Mobile money; user activity; marketing strategies; agent strategies; product offering and development; resource evaluation; Mobilbetalningar; användaraktivitet; marknadsföringsstrategier; agentstrategier; produkterbjundande och produktutveckling; resursutvärdering;

   Abstract : For the past decade, there has been many innovations made to the mobile phone and new features such as payments have been added to the mobile phone’s capabilities. East Africa is the region with the fastest uptake and highest adoption rates of mobile money in the world. READ MORE