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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Recommender systems Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Factorization Engineering & Materials Science
Artificial intelligence Engineering & Materials Science
Processing Engineering & Materials Science
Experiments Engineering & Materials Science
Data mining Engineering & Materials Science
Clustering algorithms Engineering & Materials Science

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Projects 2015 2017

Research Output 2017 2019

  • 11 Citations
  • 1 h-Index
  • 4 Article
  • 1 Conference contribution

A comparative analysis of similarity metrics on sparse data for clustering in recommender systems

Bojorque, R., Hurtado, R. & Inga, A., 1 Jan 2019, A comparative analysis of similarity metrics on sparse data for clustering in recommender systems. p. 291-299 9 p. (Advances in Intelligent Systems and Computing; vol. 787).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Recommender systems
1 Citation (Scopus)

An efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings

Zhu, B., Hurtado, R., Bobadilla, J. & Ortega, F., 31 Aug 2018, In : IEEE Access. p. 49935-49954 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Recommender systems
Collaborative filtering
Processing
Data storage equipment
Experiments
1 Citation (Scopus)

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems

Ortega, F., Bobadilla, J., Gutierrez, A., Hurtado, R. & Li, X., 28 Aug 2018, In : IEEE Access. p. 48543-48555 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Recommender systems
Artificial intelligence
Collaborative filtering
Data mining
Semantics
1 Citation (Scopus)

Recommendation to Groups of Users Using the Singularities Concept

Ortega, F., Hurtado, R., Bobadilla, J. & Bojorque, R., 4 Jul 2018, In : IEEE Access. p. 39745-39761 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Collaborative filtering
Recommender systems
Experiments
8 Citations (Scopus)

Recommender systems clustering using Bayesian non negative matrix factorization

Bobadilla, J., Bojorque, R., Esteban, A. H. & Hurtado, R., 28 Dec 2017, In : IEEE Access. p. 3549-3564 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Recommender systems
Factorization
Collaborative filtering
Clustering algorithms
Data storage equipment