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    2020
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    Rodolfo Xavier Bojorque Chasi
2020

Academic Quality Management System Audit Using Artificial Intelligence Techniques

Bojorque, R. & Pesántez-Avilés, F., 1 Jan 2020, Academic Quality Management System Audit Using Artificial Intelligence Techniques. Ahram, T. (ed.). p. 275-283 9 p. (Advances in Intelligent Systems and Computing; vol. 965).

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

Quality management
Artificial intelligence
Education
Security of data
Knowledge management
2019

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. Ahram, T. Z. (ed.). p. 291-299 9 p. (Advances in Intelligent Systems and Computing; vol. 787).

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

Recommender systems
1 Citation (Scopus)

Analysis of scientific production based on trending research topics. An Artificial Intelligence case study

Bobadilla, J., Gutiérrez, A., Patricio, M. Á. & Bojorque, R. X., 1 Jan 2019, In : Revista Espanola de Documentacion Cientifica. 42, 1, e228.

Research output: Contribution to journalArticle

artificial intelligence
research documentation
scientific community
ranking
information system

A new recommendation approach based on probabilistic soft clustering methods: A scientific documentation case study

Hurtado, R., Bobadilla, J., Bojorque, R., Ortega, F. & Li, X., 1 Jan 2019, In : IEEE Access. 7, p. 7522-7534 13 p., 8594540.

Research output: Contribution to journalArticle

Collaborative filtering
Recommender systems
Processing

Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities

Ortiz, R. H., Chasi, R. B. & Chalco, C. I., 1 Jan 2019, Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities. Ahram, T. Z. (ed.). p. 330-338 9 p. (Advances in Intelligent Systems and Computing; vol. 787).

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

Recommender systems
Factorization
Experiments
1 Citation (Scopus)

Curriculum design based on agile methodologies

Bojorque, R. & Pesántez, F., 1 Jan 2019, Curriculum design based on agile methodologies. Polak-Sopinska, A., Nazir, S. & Teperi, A-M. (eds.). p. 84-94 11 p. (Advances in Intelligent Systems and Computing; vol. 785).

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

Curricula
Education
Product design

Hierarchical clustering for collaborative filtering recommender systems

Chalco, C. I., Chasi, R. B. & Ortiz, R. H., 1 Jan 2019, Hierarchical clustering for collaborative filtering recommender systems. Ahram, T. Z. (ed.). p. 346-356 11 p. (Advances in Intelligent Systems and Computing; vol. 787).

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

Collaborative filtering
Recommender systems
Experiments
2018
3 Citations (Scopus)

Recommendation to Groups of Users Using the Singularities Concept

Ortega, F., Hurtado, R., Bobadilla, J. & Bojorque, R., 4 Jul 2018, In : IEEE Access. 6, p. 39745-39761 17 p., 8404036.

Research output: Contribution to journalArticle

Collaborative filtering
Recommender systems
Experiments
2017
18 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 journalArticle

Recommender systems
Factorization
Collaborative filtering
Clustering algorithms
Data storage equipment