Category: Research
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Deep learning based stock price prediction
Author: Fung Yee Tang Supervisor: Julia Neidhardt Abstract For many years, stock price prediction has been a challenging task due to market volatility and the complex, nonlinear factors that influence financial markets. While traditional methods such as fundamental and technical analysis are widely used, they often fail to capture the intricate patterns in modern financial…
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Temporal Analysis of Session Clusters in Clickstream Data from a Price Comparison Platform
Author: Luca Turin Supervisor: Julia Neidhardt, Co-Supervisor: Ahmadou Wagne Abstract Understanding user behaviour is essential for designing digital services, improving user experience, and optimising commercial outcomes. This thesis investigates how behaviour varies over time and across contexts on a major price comparison platform. Building on prior work that offered a static segmentation of sessions, it…
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Choice-based preference elicitation to reduce the cold start problem of a leisure activities recommender in a mobile app
Author: Andreas Fink Supervisor: Julia Neidhardt Abstract Early stages of user interactions pose a significant challenge for recommender systems, particularly due to the cold start problem. This issue arises when new users or items lack historical data, making it difficult to generate personalized recommendations. This thesis investigates the effectiveness of four visual preference elicitation methods…