6 citations · 6 across the 3 of their papers we have counts for
4 papers
Predicting Lakehouse Performance in Clouds: An Empirical Exploration of Query Runtime Variance
James Nurdin, Wei Liu, Richard Mccreadie +1
Data analytics increasingly runs on distributed lakehouse systems, where platform operators must optimise monetary, resource, and environmental costs. Query Performance Prediction…
Are Generative AI Agents Effective Personalized Financial Advisors?
Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado +2
Large language model-based agents are becoming increasingly popular as a low-cost mechanism to provide personalized, conversational advice, and have demonstrated impressive capabil…
FAR-Trans: An Investment Dataset for Financial Asset Recommendation
Javier Sanz-Cruzado, Nikolaos Droukas, Richard McCreadie
Financial asset recommendation (FAR) is a sub-domain of recommender systems which identifies useful financial securities for investors, with the expectation that they will invest c…
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling
Youngbin Lee, Yejin Kim, Javier Sanz-Cruzado +2
Recommender systems can be helpful for individuals to make well-informed decisions in complex financial markets. While many studies have focused on predicting stock prices, even ad…