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Remigio Ismael Hurtado Ortiz

Researcher

  • 46 Citations
  • 4 h-Index
20152019

Research output per year

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Projects

Provide UPS Prediction And Recommendation Models That Facilitate Academic Management By Incorporating Machine Learning Techniques Into The Institutional Database

Bojorque Chasi, R. X. & Hurtado Ortiz, R. I.

27/07/17 → 31/12/18

Project: Research and Development

Playful Interactive Microworlds As Therapeutic Support Tools Aimed At Children Under Risk ( Microludi V2 )

Pesantez Aviles, L. F., Hurtado Ortiz, R. I., Ingavelez Guerra, P. C., Quisi Peralta, D. F., Robles Bykbaev, V. E. & Timbi Sisalima, C. F.

17/06/15 → 17/06/16

Project: Research and Development

Research Output

  • 46 Citations
  • 4 h-Index
  • 5 Conference contribution
  • 5 Article

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 proceeding › Conference contribution

    • 1 Scopus citations

    A new approach hybrid recommender system of item bundles for group of users

    Moreno, B. D. V., Ortiz, R. I. H. & Rivera, D. A. M., Nov 2019, 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019. Institute of Electrical and Electronics Engineers Inc., 9057121. (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • 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 journal › Article

    • 3 Scopus citations

    A new way of finding better neighbors in recommendation systems based on collaborative filtering

    Ortiz, R. I. H., Garcia, D. A. M. & Mancheno, A. S. E., Nov 2019, 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019. Institute of Electrical and Electronics Engineers Inc., 9057036. (2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • 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 proceeding › Conference contribution