Sökning: "retention time prediction"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden retention time prediction.
1. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. LÄS MER
3. A general deep probabilistic model for customer lifetime value prediction of companies : A unified evaluation metric and analysis of the required historical data for different companies in context of prediction of customer lifetime value
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A comprehensive understanding of customers’ future Lifetime Value (LTV) enables companies to assess the return on marketing investment and may provide a useful tool when determining a company’s value. Furthermore, LTV predictions allow marketers to segment customers based on the predicted LTV and, in turn, effectively allocate marketing resources for acquisition, retention, and cross-selling. LÄS MER
4. Increasing Retention in Insurtechs Through Churn Prediction
Master-uppsats, Lunds universitet/InnovationsteknikSammanfattning : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. LÄS MER
5. Baking volume of wheat flour : assessment of novel analyses and parameters in prediction
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : In the milling industry baking volume is used as the gold standard for wheat flour quality. Determination of baking volume is a time-consuming and blunt method, demanding a quicker and more precise substitute. The aim of this thesis was to assess how different rheological and chemical parameters affect baking volume. LÄS MER
