Giuseppe Rizzo
(ISMB)
Mercoledì 27 settembre 2017, ore 13.00 – 14.00
Centro Nexa su Internet & Società
Politecnico di Torino, via Boggio 65/a, Torino (1° piano)
Ingresso libero
Prenota qui
Nowadays, all industry sectors are witnessing a severe transformation of the internal processes driven by a massive adoption of data to foster automation where the human role is primarily meant to envision and design, train, and instantiate once the automated process that will ultimately regulate the value generation.
In the context of two European projects, namely 3cixty and PasTime, both supported by the European Institute of Innovation & Technology (EIT), we have envisioned and experimented with a forward looking approach towards the automated personalization of travel offerings. Leveraging a data deluge of crowdsourced travelers’ data city whereabouts, dedicated city data catalogues of points of interest and events, travelers’ past bookings and travel choices, we have streamlined a fully automated pipeline of data collection and integration, semantic graph materialization, and travel recommendations, bridging the gap between data automation and final customer consumption.
The aim of this lunch seminar is to illustrate the basic principles of our technology solution based on semantic technologies and recommender algorithms, we will illustrate how we put back the traveler at the center of our technology implementation, and will share some insights about the impact of this solution.
Biografia
Dr. Giuseppe Rizzo is Senior Data Scientist in Istituto Superiore Mario Boella, a research center located in Turin and focused on ICT research and innovation. Giuseppe is currently PI of ISMB in PasTime (EIT Digital, no. 17164) and has participated in successful International projects such as 3cixty (PI of ISMB), FREME, LinkedTV, Apps4EU, EventMedia and OpenSem. He does research at the intersection of semantics and natural language understanding with a focus on machine learning and a particular interest in automation as whole. He is the main architect and co-investigator of the NERD framework.
Letture consigliate e link utili
- Palumbo, E., Rizzo, G., Troncy, R. 2017. Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. In Proceedings of RecTour2017.
- Dareddy, M.R., 2016. Challenges in Recommender Systems for Tourism. In Proceedings of RecTour 2016.
- Werthner, H., Alzua-Sorzabal, A., Cantoni, L., Dickinger, A., Gretzel, U., Jannach, D., Neidhardt, J., Pröll, B., Ricci, F., Scaglione, M., Stangl, B., Stock, O., and Zanker, M., 2015. Future research issues in IT and tourism. Journal of IT & Tourism, 15(1):1-15.
- Werthner H., and Ricci, F., 2004. E-commerce and tourism. Communications of the ACM, 47(12), 101-105.