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Javier Sanz-Cruzado

3 papers hereh-index 9210 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.IR1
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

most citedStock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling

6 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

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…

cs.IR2024

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…

q-fin.ST2024★ 6 cited

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…

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