@inproceedings{8c1d0b1424784173a3c2e56c670ab4d8,
title = "Prototype of a recommendation system based on multi-agents in the analysis of movies dataset",
abstract = "In this paper is made a proposal of a recommendation system based on multi-agents, showing the architecture designed, the server used for the development of the multi-agent system, as well as the communication between necessary agents to carry out a tour recommended. The implemented proposal allows to make suggestions to users about movies. By means of neural networks it is determined if the proposed route for the user is correct or if it is necessary to improve the suggestion for following recommendations. In order to generate the recommendations, the free dataset of MovieLens was used, where a database was created to allow the analysis of them; and also to obtain a response to new recommendations for users.",
keywords = "Agent, JSON, Multi-agent, Neuronal network, Recommendation, SPADE, System",
author = "Andres Ball{\'e}n and Nancy Gelvez and Helbert Espitia",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 5th Workshop on Engineering Applications, WEA 2018 ; Conference date: 17-10-2018 Through 19-10-2018",
year = "2018",
doi = "10.1007/978-3-030-00350-0_18",
language = "English",
isbn = "9783030003494",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "206--217",
editor = "Lopez-Santana, {Eduyn Ramiro} and Figueroa-Garcia, {Juan Carlos} and Rodriguez-Molano, {Jose Ignacio}",
booktitle = "Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings",
address = "Germany",
}