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Javier Sanz-Cruzado

  • Research Associate
  • Terrier Team
  • University of Glasgow
About me

I am a post-doctoral research associate at the Terrier Team at University of Glasgow, working on financial asset recommendations with Prof. Iadh Ounis, Prof. Craig Macdonald and Dr. Richard McCreadie. Previously, I obtained a PhD in computer science at the Information Retrieval Group at Universidad Autónoma de Madrid. I developed my thesis, titled "Contact recommendation in social networks: algorithmic models, diversity and network evolution", under the supervision of Prof. Pablo Castells.

My research interests are recommender systems, information retrieval, social networks and multi-armed bandits. Currently, the main focus of my work is the definition of effective and explainable recommendation models for asset recommendation in the financial domain.

My doctoral research was focused on people-to-people recommendation, where I explored the development of new recommendation algorithms based on information retrieval models, as well as considering new perspectives beyond accuracy in the development and evaluation of contact recommendation methods, such as the effects of recommending new links on the evolution of the structural properties and the flow of information through the network. I also studied the use of multi-armed bandit approaches for interactive recommendation.

Latest news

  • 22nd December 2023 Demo paper with Edward Richards and Richard McCreadie accepted at ECIR 2024: FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain.
  • 9th October 2023: As part of the Scottish Fintech Festival, we organized an event titled "What's your next investment? Automated recommendations for the investors". Materials can be accessed here.
  • 12th December 2022: During the IR Away Day at University of Glasgow, I presented a tutorial on how to use the network library RELISON, one of the outcomes of the work done during my PhD. Slides from that presentation here
  • 31th August 2022: Paper with Richard McCreadie, Nikolaos Droukas, Craig Macdonald and Iadh Ounis accepted at the FinRec workshop at RecSys 2022: "On Transaction-Based Metrics as a Proxy for Profitability of Financial Asset Recommendations".
  • 4th April 2022: Paper with Pablo Castells accepted at the Resource Track of SIGIR 2022: "RELISON: A Framework for Link Recommendation in Social Networks".
  • 21st February 2022: I gave a talk at the IR seminars at the University of Glasgow, titled "Recommending people in social networks: algorithmic models and network diversity". Slides (in English) here.
  • 1st November 2021: I joined the Terrier Team at University of Glasgow as a post-doctoral research associate, to work on the Infinitech project with Prof. Iadh Ounis, Dr. Craig Macdonald and Dr. Richard McCreadie.
  • 25th May 2021: I successfully defended my thesis, titled "Contact recommendation in social networks: algorithmic models, diversity and network evolution" at Universidad Autónoma de Madrid. You can download the document here and the slides here. More information about the thesis can be found in the Thesis section of the site.
  • 29th March 2021: I gave a talk for the HaiVis group at the Pontificia Universidad Católica de Chile, titled "Recomendación de contactos en redes sociales mediante métodos de búsqueda". Slides (in Spanish) here.