Javier Sanz-Cruzado
- Research Associate
- Information Retrieval Group
- University of Glasgow
I am a post-doctoral researcher at the Information Retrieval Group at the University of Glasgow, working on the use of natural language processing and machine learning techniques to extract useful signals and information from biomedical publications with Dr. Jake Lever. Previously, along Dr. Richard McCreadie, Prof. Craig Macdonald and Prof. Iadh Ounis, I explored the development and evaluation of recommender systems for financial investments, participating in and leading research and innovation projects in this space.
I obtained a PhD in Computer Science at the Information Retrieval Group at Universidad Autónoma de Madrid, under the supervision of Prof. Pablo Castells. My thesis, titled Contact recommendation in social networks: algorithmic models, diversity and network evolution" explored the development of people-to-people recommendation methods and the effects of recommending links on the evolution of online social networks.
My research interests include recommender systems, information retrieval, natural language processing and graphs (social networks, knowledge graphs, citation graphs).
- Recommender systems
- Information retrieval
- Natural language processing
- Machine learning
- Graphs (Knowledge graphs, social networks, citation graphs...)
- Financial investments
- Biomedical text classification
- 27th September 2024: Paper accepted at the 5th ACM Conference on AI in Finance (ICAIF 2024) titled "Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling" with Yeyin Kim, Youngbin Lee, Richard McCreadie and Yongjae Lee.
- 24th June 2024: I gave a talk at the IR seminars at the University of Glasgow, titled "Investors are (not) always right: a comparison of transaction-based and profitability-based metrics for financial asset recommendation".
- 21st June 2024: Shared task paper with Lubingzhi Guo and Richard McCreadie accepted at the Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen): University of Glasgow at the FinLLM Challenge Task: Adapting Llama for Financial News Abstractive Summarization.
- 6th June 2024: Three workshop papers accepted at the IJCAI 2024 Workshop on Recommender Systems in Finance (Fin-RecSys 2024): "FAR-Trans: An Investment Dataset for Financial Asset Recommendation", with Nikolaos Droukas and Richard McCreadie, "Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation", with Lubingzhi Guo and Richard McCreadie and "Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-variance Efficient Learning" with Yeyin Kim, Youngbin Lee, Richard McCreadie and Yongjae Lee.
- 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.