Paper Info
Title
Using Social Interaction Between Friends In Knowledge-Based Personalized Recommendation
Abstract
Over the last decade, ontologies have been increasingly used in recommender systems. Domain ontologies are mainly used to analyze the user behaviour with reference to knowledge structure in order to build user profiles. In addition, ontologies are useful for modelling the trust between users extracted from a social network. We, accordingly, propose to combine two approaches to improve the recommendation process in tourism domain. The first is the trusted friends' preference based on the assumption that users generally have a tendency to use items recommended by friends rather than strangers. The second is the ontology based user interest to represent the semantics of these interests. A Trusted Friends' Application is developed to determine social trusted friends by analyzing user's profile on Facebook. Afterwards, we have represented the user's model as an ontology that takes into consideration all trusted friends' preferences and the degree of trust between friends. Finally, we have used this ontology in a knowledge-based tourism recommender system as a smart e-tourism tool able to recommend items based on the users' preferences and their trusted friends' preferences.
Year
DOI
Venue
2017
10.1109/AICCSA.2017.206
2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA)
Keywords
Field
DocType
Preference representation, Ontology, Semantic web mining, Recommender systems, Trust, Social Network, Tourism
Recommender system,Social relation,Ontology (information science),Ontology,World Wide Web,Social network,Computer science,Computer network,Knowledge-based systems,Tourism,Semantics
Conference
ISSN
Citations 
PageRank 
2161-5322
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mohamed Frikha112.38
Mohamed Mhiri2106.71
Faïez Gargouri324492.29