|
Name |
Fátima Leal |
|
Affiliation |
University of Vigo |
|
Corresponding WG |
WG1 |
|
Grant research topic |
Big Data Techniques for Trust and Reputation Modelling using Crowdsourcing Information on Tourism Domain |
|
Hosting Institution |
National College of Ireland |
|
Period |
01-11-2016 to 30-01-2017 |
|
Summary of the scientific report |
The work accomplished during the grant period was focussed on Machine Learning and Data Mining techniques in order to explore data-intensive tourism crowdsourcing. The selected techniques were applied to the Expedia data to generate dynamic user profiles and produce recommendations using both, multiple-criteria ratings and textual reviews. The results as well as a full explanation of the work produced are described on both accepted scientific articles: (i) Profiling and Prediction using Tourism Crowd-sourced Multiple-Criteria Ratings; and (ii) Semantic Profiling and Destination Recommendation based on Crowd-sourced Tourist Reviews. The access to the National College of Ireland infrastructure will continue being assigned in order to complete the project. |
|
Personal notes |
This STSM grant gave me an opportunity to develop extra skills regarding Data Analytics. I am very grateful to Dr. Horacio González-Vélez and Dr. Adriana Chis for hospitality during my stay in Dublin. Thank you so much for the regular meetings, all support, and the opportunity to present my research in a seminar. This mobility was an essential activity for my PhD research progress. |