Invalcor is a center specialized in the functional assessment of the locomotor system that by means of advanced technology objective aspects such as the measure of the mobility, strength, power, resistance, or fatigue of a damaged body region. The company is interested in designing a prediction system that, based on the historical data of its activity, attends the diagnosis work to doctors.
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.
This project consisted of the development of a tool for learning about the different relationships between the members of an organisation and their areas of work. The group-level analysis provides a real-time diagnosis and makes it possible to take actions to improve and streamline processes.
Image search engines receive huge volumes of images every day, but very few of these have any impact on the internet. Of course, the aesthetics and technique of images are key to ensuring they have an impact on the internet and are not overlooked.