Dr Javier Sanz-Cruzado Puig
- Research Associate (School of Computing Science)
email:
Javier.Sanz-CruzadoPuig@glasgow.ac.uk
pronouns:
He/him/his
F111, 18 Lilybank Gardens, School of Computing Science, Glasgow, Scotland, United Kingdom, G12 8RZ
Research interests
- Recommender systems
- Information retrieval
- Social network analysis
Publications
2024
Lee, Y., Kim, Y., Sanz-Cruzado Puig, J. , Mccreadie, R. and Lee, Y. (2024) Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. In: 5th ACM Conference on AI in Finance (ICAIF 2024), Brooklyn, NY, USA, 14-17 November 2024, (Accepted for Publication)
Guo, L., Sanz-Cruzado Puig, J. and Mccreadie, R. (2024) University of Glasgow at the FinLLM Challenge Task: Adapting Llama for Financial News Abstractive Summarization. Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen), Jeju, Korea, 3 Aug 2024. (Accepted for Publication)
Guo, L., Sanz-Cruzado, J. and Mccreadie, R. (2024) Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
Lee, Y., Kim, Y., Sanz-Cruzado, J. , Mccreadie, R. and Lee, Y. (2024) Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
Sanz-Cruzado, J. , Droukas, N. and Mccreadie, R. (2024) FAR-Trans: An Investment Dataset for Financial Asset Recommendation. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
2023
Sanz-Cruzado, J. , Richards, E. and McCreadie, R. (2023) FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 Mar 2024, (Accepted for Publication)
McCreadie, R. and Sanz-Cruzado Puig, J. (2023) Personalized Investment Recommendations for Retail Customers. Project Report. University of Glasgow, UK.
2022
Sanz-Cruzado, J. , Mccreadie, R. , Droukas, N., Macdonald, C. and Ounis, I. (2022) On Transaction-Based Metrics as a Proxy for Profitability of Financial Asset Recommendations. 3rd Workshop on Personalization & Recommender Systems in Financial Services, Seattle, WA, USA, 18-23 Sep 2022.
Sanz-Cruzado Puig, J. and Castells, P. (2022) RELISON: A Framework for Link Recommendation in Social Networks. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 2992-3002. ISBN 9781450387323 (doi: 10.1145/3477495.3531730)
2020
Sanz-Cruzado, J. , Castells, P., Macdonald, C. and Ounis, I. (2020) Effective contact recommendation in social networks by adaptation of information retrieval models. Information Processing and Management, 57(5), 102285. (doi: 10.1016/j.ipm.2020.102285)
Sanz-Cruzado Puig, J. and Castells, P. (2020) Beyond accuracy in link prediction. In: Boratto, L., Faralli, S., Marras, M. and Stilo, G. (eds.) Bias and Social Aspects in Search and Recommendation. Series: Communications in computer and information science (1245). Springer, pp. 79-94. ISBN 9783030524852 (doi: 10.1007/978-3-030-52485-2_9)
Sanz-Cruzado, J. , Macdonald, C. , Ounis, I. and Castells, P. (2020) Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR Perspective. In: 42nd European Conference on IR Research (ECIR 2020), Lisbon, Portugal, 14-17 Apr 2020, pp. 175-190. ISBN 9783030454388 (doi: 10.1007/978-3-030-45439-5_12)
2019
Sanz-Cruzado Puig, J. and Castells, P. (2019) Information Retrieval Models for Contact Recommendation in Social Networks. In: 1st European Conference on IR Research, ECIR 2019, Cologne, Germany, 14–18 Apr 2019, pp. 148-163. (doi: 10.1007/978-3-030-15712-8_10)
Sanz-Cruzado Puig, J. , Castells, P. and López, E. (2019) A Simple Multi-armed Nearest-neighbor Bandit for Interactive Recommendation. In: RecSys '19: Thirteenth ACM Conference on Recommender Systems, Copenhagen, Denmark, 16-20 Sept 2019, pp. 358-362. ISBN 9781450362436 (doi: 10.1145/3298689.3347040)
2018
Sanz-Cruzado, J. and Castells, P. (2018) Enhancing structural diversity in social networks by recommending weak ties. In: 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, British Columbia, Canada, 2-7 October 2018, pp. 233-241. ISBN 9781450359016 (doi: 10.1145/3240323.3240371)
Sanz-Cruzado Puig, J. , Pepa, S. M. and Castells, P. (2018) Structural novelty and diversity in link prediction. In: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18. ACM, pp. 1347-1351. ISBN 9781450356404 (doi: 10.1145/3184558.3191576)
Sanz-Cruzado Puig, J. and Castells, P. (2018) Contact recommendations in social networks. In: Berkovsky, S., Cantador, I. and Tikk, D. (eds.) Collaborative Recommendations. World Scientific, pp. 519-569. ISBN 9789813275362 (doi: 10.1142/9789813275355_0016)
Sanz-Cruzado Puig, J. , Pepa, S. M. and Castells, P. (2018) Recommending Contacts in Social Networks Using Information Retrieval Models. In: CERI '18: 5th Spanish Conference in Information Retrieval, Zaragoza, Spain, 26-27 June 2018, pp. 1-8. ISBN 9781450365437 (doi: 10.1145/3230599.3230619)
Articles
Sanz-Cruzado, J. , Castells, P., Macdonald, C. and Ounis, I. (2020) Effective contact recommendation in social networks by adaptation of information retrieval models. Information Processing and Management, 57(5), 102285. (doi: 10.1016/j.ipm.2020.102285)
Book Sections
Sanz-Cruzado Puig, J. and Castells, P. (2020) Beyond accuracy in link prediction. In: Boratto, L., Faralli, S., Marras, M. and Stilo, G. (eds.) Bias and Social Aspects in Search and Recommendation. Series: Communications in computer and information science (1245). Springer, pp. 79-94. ISBN 9783030524852 (doi: 10.1007/978-3-030-52485-2_9)
Sanz-Cruzado Puig, J. , Pepa, S. M. and Castells, P. (2018) Structural novelty and diversity in link prediction. In: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18. ACM, pp. 1347-1351. ISBN 9781450356404 (doi: 10.1145/3184558.3191576)
Sanz-Cruzado Puig, J. and Castells, P. (2018) Contact recommendations in social networks. In: Berkovsky, S., Cantador, I. and Tikk, D. (eds.) Collaborative Recommendations. World Scientific, pp. 519-569. ISBN 9789813275362 (doi: 10.1142/9789813275355_0016)
Research Reports or Papers
McCreadie, R. and Sanz-Cruzado Puig, J. (2023) Personalized Investment Recommendations for Retail Customers. Project Report. University of Glasgow, UK.
Conference or Workshop Item
Guo, L., Sanz-Cruzado Puig, J. and Mccreadie, R. (2024) University of Glasgow at the FinLLM Challenge Task: Adapting Llama for Financial News Abstractive Summarization. Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen), Jeju, Korea, 3 Aug 2024. (Accepted for Publication)
Guo, L., Sanz-Cruzado, J. and Mccreadie, R. (2024) Comparing the Impact of Financial Knowledge Graphs from Financial Reports and Wikidata in Asset Recommendation. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
Lee, Y., Kim, Y., Sanz-Cruzado, J. , Mccreadie, R. and Lee, Y. (2024) Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
Sanz-Cruzado, J. , Droukas, N. and Mccreadie, R. (2024) FAR-Trans: An Investment Dataset for Financial Asset Recommendation. IJCAI-24 Workshop on Recommender Systems in Finance (Fin-RecSys), Jeju, Republic of Korea, 4 August 2024.
Sanz-Cruzado, J. , Mccreadie, R. , Droukas, N., Macdonald, C. and Ounis, I. (2022) On Transaction-Based Metrics as a Proxy for Profitability of Financial Asset Recommendations. 3rd Workshop on Personalization & Recommender Systems in Financial Services, Seattle, WA, USA, 18-23 Sep 2022.
Conference Proceedings
Lee, Y., Kim, Y., Sanz-Cruzado Puig, J. , Mccreadie, R. and Lee, Y. (2024) Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. In: 5th ACM Conference on AI in Finance (ICAIF 2024), Brooklyn, NY, USA, 14-17 November 2024, (Accepted for Publication)
Sanz-Cruzado, J. , Richards, E. and McCreadie, R. (2023) FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 Mar 2024, (Accepted for Publication)
Sanz-Cruzado Puig, J. and Castells, P. (2022) RELISON: A Framework for Link Recommendation in Social Networks. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 2992-3002. ISBN 9781450387323 (doi: 10.1145/3477495.3531730)
Sanz-Cruzado, J. , Macdonald, C. , Ounis, I. and Castells, P. (2020) Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR Perspective. In: 42nd European Conference on IR Research (ECIR 2020), Lisbon, Portugal, 14-17 Apr 2020, pp. 175-190. ISBN 9783030454388 (doi: 10.1007/978-3-030-45439-5_12)
Sanz-Cruzado Puig, J. and Castells, P. (2019) Information Retrieval Models for Contact Recommendation in Social Networks. In: 1st European Conference on IR Research, ECIR 2019, Cologne, Germany, 14–18 Apr 2019, pp. 148-163. (doi: 10.1007/978-3-030-15712-8_10)
Sanz-Cruzado Puig, J. , Castells, P. and López, E. (2019) A Simple Multi-armed Nearest-neighbor Bandit for Interactive Recommendation. In: RecSys '19: Thirteenth ACM Conference on Recommender Systems, Copenhagen, Denmark, 16-20 Sept 2019, pp. 358-362. ISBN 9781450362436 (doi: 10.1145/3298689.3347040)
Sanz-Cruzado, J. and Castells, P. (2018) Enhancing structural diversity in social networks by recommending weak ties. In: 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, British Columbia, Canada, 2-7 October 2018, pp. 233-241. ISBN 9781450359016 (doi: 10.1145/3240323.3240371)
Sanz-Cruzado Puig, J. , Pepa, S. M. and Castells, P. (2018) Recommending Contacts in Social Networks Using Information Retrieval Models. In: CERI '18: 5th Spanish Conference in Information Retrieval, Zaragoza, Spain, 26-27 June 2018, pp. 1-8. ISBN 9781450365437 (doi: 10.1145/3230599.3230619)
Research datasets
2024
Sanz-Cruzado Puig, J. , Droukas, N. and Mccreadie, R. (2024) FAR-Trans: An Investment Dataset for Financial Asset Recommendation. [Data Collection]