Publicacións nas que colabora con Fátima Manuela da Silva Leal (23)

2024

  1. Balancing Plug-In for Stream-Based Classification

    Lecture Notes in Networks and Systems

  2. Explainable Classification of Wiki Streams

    Lecture Notes in Networks and Systems

2023

  1. Interpretable Classification of Wiki-Review Streams

    IEEE Access, Vol. 11, pp. 141137-141151

  2. Towards adaptive and transparent tourism recommendations: A survey

    Expert Systems

2022

  1. Explanation Plug-In for Stream-Based Collaborative Filtering

    Lecture Notes in Networks and Systems

  2. Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly

    Simulation Modelling Practice and Theory, Vol. 120

  3. Stream-based explainable recommendations via blockchain profiling

    Integrated Computer-Aided Engineering, Vol. 29, Núm. 1, pp. 105-121

2021

  1. Crowdsourced Data Stream Mining for Tourism Recommendation

    Advances in Intelligent Systems and Computing

2020

  1. A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency

    Electronic Commerce Research and Applications, Vol. 40

  2. A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation

    Electronic Commerce Research and Applications, Vol. 40

  3. Responsible processing of crowdsourced tourism data

    Journal of Sustainable Tourism, pp. 1-21

2019

  1. Analysis and prediction of hotel ratings from crowdsourced data

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 9, Núm. 2

  2. Incremental Hotel Recommendation with Inter-guest Trust and Similarity Post-filtering

    Advances in Intelligent Systems and Computing

  3. On-line guest profiling and hotel recommendation

    Electronic Commerce Research and Applications, Vol. 34

  4. Scalable modelling and recommendation using wiki-based crowdsourced repositories

    Electronic Commerce Research and Applications, Vol. 33

2018

  1. Recommendation of tourism resources supported by crowdsourcing

    Recommendation of tourism resources supported by crowdsourcing

  2. Scalable data analytics using crowdsourced repositories and streams

    Journal of Parallel and Distributed Computing, Vol. 122, pp. 1-10

  3. Semantic profiling and destination recommendation based on crowd-sourced tourist reviews

    Advances in Intelligent Systems and Computing

  4. Trust and reputation modelling for tourism recommendations supported by crowdsourcing

    Advances in Intelligent Systems and Computing

2017

  1. Prediction and analysis of hotel ratings from crowd-sourced data

    Advances in Intelligent Systems and Computing