Items where Author is "Burguillo, Juan Carlos"

Article

Leal, Fátima, Veloso, Bruno, Malheiro, Benedita, Burguillo, Juan Carlos, Chis, Adriana E. and González-Vélez, Horacio (2022) Stream-based explainable recommendations via blockchain profiling. Integrated Computer-Aided Engineering, 29 (1). pp. 105-121. ISSN 1875-8835

Leal, Fátima, Veloso, Bruno, Malheiro, Benedita, González-Vélez, Horacio and Burguillo, Juan Carlos (2020) A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation. Electronic Commerce Research and Applications, 40. p. 100951. ISSN 1567-4223

Leal, Fátima, Veloso, Bruno, Malheiro, Benedita, González-Vélez, Horacio and Burguillo, Juan Carlos (2019) Scalable modelling and recommendation using wiki-based crowdsourced repositories. Electronic Commerce Research and Applications, 33. p. 100817. ISSN 1567-4223

Veloso, Bruno, Leal, Fátima, González-Vélez, Horacio, Malheiro, Benedita and Burguillo, Juan Carlos (2018) Scalable data analytics using crowdsourced repositories and streams. Journal of Parallel and Distributed Computing, 122. pp. 1-10. ISSN 0743-7315

Leal, Fátima, Malheiro, Benedita, González-Vélez, Horacio and Burguillo, Juan Carlos (2017) Trust-based Modelling of Multi-criteria Crowdsourced Data. Data Science and Engineering. pp. 1-11. ISSN 2364-1541

Book Section

Leal, Fátima, González-Vélez, Horacio, Malheiro, Benedita and Burguillo, Juan Carlos (2018) Semantic Profiling and Destination Recommendation based on Crowd-sourced Tourist Reviews. In: Distributed Computing and Artificial Intelligence, 14th International Conference. DCAI 2017. Advances in Intelligent Systems and Computing (620). Springer International Publishing, pp. 140-147. ISBN 978331962410517

Leal, Fátima, González-Vélez, Horacio, Malheiro, Benedita and Burguillo, Juan Carlos (2017) Profiling And Rating Prediction From Multi-Criteria Crowd-Sourced Hotel Ratings. In: Proceedings 31st European Conference on Modelling and Simulation. ECMS. ISBN 9780993244049