From co-likes to candidates with Node2Vec
A practical route from MovieLens interactions to graph embeddings, along with the evidence and limits needed before calling the result a recommender.
Recommendation systemsIntermediate
Technical notes & research
Practical articles distilled from public teaching notebooks, plus the academic research archive. Each note keeps a direct path to its source code.
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Applied explanations with the decisions, evidence, and limitations left in.
A practical route from MovieLens interactions to graph embeddings, along with the evidence and limits needed before calling the result a recommender.
Recommendation systemsIntermediate
A defensible model-selection workflow: choose splits from the data-generating process, keep preprocessing inside each fold, and separate tuning from evaluation.
Model evaluationIntermediate
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Peer-reviewed and institutional publications across innovation, energy access, and decision sciences.
Springer · Advances in Intelligent Systems and Computing, Vol. 894 · Co-author
Real Academia de Ciencias Económicas y Financieras · ISBN 978-84-09-08037-3 · Co-author
Working Papers MGEM 2(1) · Co-author
Working Papers MGEM 2(1) · Co-author