Mobile-Based Recommendation System in Conferences

Título

dc.contributor.author	Hernández de la Iglesia, Daniel
dc.contributor.author	Moreno García, María Navelonga
dc.contributor.author	Omatu, Sigeru
dc.date.accessioned	2017-09-06T09:17:01Z
dc.date.available	2017-09-06T09:17:01Z
dc.date.issued	2014-06
dc.identifier.citation	Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. Advances in Intelligent Systems and Computing. Volumen 293, pp. 121-129.
dc.identifier.isbn	978-3-319-07475-7 (Print) / 978-3-319-07476-4 (Online)
dc.identifier.issn	2194-5357
dc.identifier.uri	http://hdl.handle.net/10366/135147
dc.description.abstract	Today information is a very important asset for organizations. Obtaining and interpreting information in real time can be a major benefit in decision making. For this reason, we have developed a mobile application that uses WiFi access points to locate users who are attending conferences and exhibits. The application can generate a dataset according to the user’s preferences and on-site location, and provide personalized recommendations accordingly.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Mobile-Based Recommendation System in Conferences
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess