DataScience@UB designs and prototype a machine that includes an intelligent vision system based on semantic segmentation through convolutional neural networks to automate the classification of leather.
Optimise the range of ads in the hotel and restaurant industry
Choosing an ad to show customers is a critical part of marketing in the online tourism sector. It is necessary to choose one that attracts consumers, but also ends in a potential sale. Analysing user search data must allow the probability and profitability of a specific ad to be defined and estimated.
GCD@UB and an online travel company collaborated on the design of a tool to estimate the click-through rate of ads in the hotel and restaurant industry. The algorithms, which were developed based on regression models, have the capacity to process millions of attributes and allow decisions to be made in real time regarding the best ads to show at any given moment.
Making decisions about which ads to show customers should aim to increase the effectiveness of marketing so that it is relevant to the consumer and, in turn, profitable for the company.
Thanks to the emerging technologies of e-Learning, the analysis of data offers professionals in the education sector, advantages with the ability to impact and revolutionize in the future the way we analyze and evaluate the learning experience.
Within the framework of the Cartographic Plan of Catalonia, the Cartographic and Geological Institute of Catalonia is working on the elaboration of the technical specifications of the land covers Map of Catalonia. The ICGC has commissioned us a study to explore the viability of the application of deep learning techniques in the generation of maps.