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- W2300328478 abstract "Recommender systems arise in response to the excess os information available. These systems assign, to a given individual, suggestions of products, services and items that are relevant to him. The business models from many multinational enterprises rely on the proper functioning of these systems, like Google or Amazon, and at an increasing rate as well for other companies. These system’s monitorization and evaluation are fundamental to the proper operation of its related services. It is the goal of this essay to approach this issue, seeking to create a tool capable of collecting, aggregating and supervise the results obtained from the recommendation systems’ evaluation. For this purpose, it was used the open-source framework MyMediaLite as the tool for the generation of experiments and as evaluator, being the backbone for the administration and monitoring platforms. It was in that context that AToMRS was projected, after evaluating the requirements and the state of the art of the relevant areas of interest to the development of this application. This tool aims to combat the lack of mechanisms to be able to visually assess the performance of a recommender systems’ algorithm. In a final phase, it was carried out a functional prototype of the application, with the purpose of validating the solution’s concept and to allow its improvement as future work." @default.
- W2300328478 created "2016-06-24" @default.
- W2300328478 creator A5010967192 @default.
- W2300328478 date "2016-02-17" @default.
- W2300328478 modified "2023-09-27" @default.
- W2300328478 title "AToMRS: Uma Ferramenta para Monitorizar o Desempenho de Sistemas de Recomendação" @default.
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