Um sistema para recomendação de eventos locais com base nas preferências do usuário.

Abstract

Recommendation systems are, more than ever, a part of people’s lives. Be it by suggesting music in apps like Spotify or television series on Netflix, these technologies are there to help a product or service reach as many interested people as possible. Big events like shows by famous artists or great festivals have an easier time finding their target audience because of the coverage they receive from large media outlets. Small events, on the other hand, don’t have as many tools and end up relying on word of mouth to reach their audience. This technical report intends to present the development of a system that will allow people to find events of their interest. Such system uses techniques from recommendation systems and web technologies to create a platform where people will be able to find events around them with greater ease and enjoy experiences that, perhaps, they wouldn’t even know existed. The work has been divided in three phases, the first is meant to explore the event promotion scene and understand better the habits of the users. The second phase describes the project and development of the system highlighting the process. The third and last phase consists of evaluating the recommendation functionality, considered the most important in the system.