Ontology-based tourism for all recommender and information retrieval system for interactive community displays
MetadataShow full item record
This paper presents a multi-stage ontology-based touristic recommender system which offers: personalized suggestions to citizens and tourists, including those with special needs; and information concerning the suggested locations. The system's suggestions are based on user profiles which are continuously updated via feedback obtained from past interactions. Users' preferences are deducted by means of profiles and they are used to create and to send queries to heterogeneous information sources. The results are ranked and presented to the user along with related information.
Showing items related by title, author, creator and subject.
Tkalcic M; Chen L (Springer, 2015)Personality, as defined in psychology, accounts for the individual differences in users’ preferences and behaviour. It has been found that there are significant correlations between personality and users’ characteristics ...
Jannach D; Zanker M; Ge M; Gröning M (Springer Berlin Heidelberg, 2012)The paper reviews and classifies recent research in recommender systems both in the field of Computer Science and Information Systems. The goal of this work is to identify existing trends, open issues and possible directions ...
Nguyen TN; Ricci F (Springer Verlag, 2017)Group recommender systems aim at supporting a group of users in making decisions when considering a set of alternatives. State of the art solutions aggregate individual preferences acquired before the actual decision making ...