Profiling web users preferences with text mining: Plan2See - Dynamic formulation of conceptual groups

Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/5354

Author(s):	Costa, P. B. Oliveira, S. Nunes, L.
Date:	2013
Title:	Profiling web users preferences with text mining: Plan2See - Dynamic formulation of conceptual groups
Book title/volume:	2013 8th Iberian Conference on Information Systems and Technologies (CISTI)
Pages:	Vol II, pp. 73 - 76
Event title:	8th Iberian Conference on Information Systems and Technologies, CISTI 2013
ISSN:	2166-0727
ISBN:	978-989-98434-0-0
Keywords:	Text mining Clustering Profiling Statistical models Web 2.0
Abstract:	In this paper we propose a new approach to clustering Web-based content that could be leveraged by users' preferences. These preferences may imply grouping or dividing the initial clusters so that the resulting clusters represent users' profiles. This approach could be applied to recommend different textual contents, based on the clusters or per user. We conduct a summarized survey of what is the state-of-the-art towards a personalized and interactive manipulation of data by users and present the general configuration of our method and some preliminary results well as the objectives for future work.
Peerreviewed:	yes
Access type:	Acesso Restrito
Aparece nas coleções:	CTI-CRI - Comunicações a conferências internacionais