Authors:
Silvia Rossi
;
Francesco Barile
and
Antonio Caso
Affiliation:
Universita’ degli Studi di Napoli “Federico II”, Italy
Keyword(s):
User Profiling, Group Recommendation, Dominance, Small Groups, Social Networks.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Recommendation Systems
;
Social Networks and Organizational Culture
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
User Modeling
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Touristic Web Portals can be considered windows on cultural cities. By providing all the necessary information
in one single portal, the user is free to decide her/his preferred items/activities without the need of consulting
different information sources. However, this kind of interface introduces the typical information overload
problem. In this work, we present our framework for profiling both a single user and a group of users that
relies on a not intrusive analysis of the users’ behaviors on social networks/media. By using data drawn from
social networks, it is possible to obtain useful indirect information to profile occasional users. Moreover, the
analysis of the behavior of small close groups on social networks may help an automatic system in the merge
of the different preferences the users may have, simulating somehow a decision process similar to a natural
interaction. In this direction, our aim is to identify key users taking in account concepts from research on
users’ con
nectivity and on users’ communication activity.
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