Context-aware and ontology-based recommender system for e-tourism

Simple item page
dc.contributor.authorCastellanos, G.
dc.contributor.authorCardinale, Y.
dc.contributor.authorRoose, P.
dc.date.accessioned2022-03-11T00:27:13Z
dc.date.available2022-03-11T00:27:13Z
dc.date.issued2021
dc.description.abstractFrequently, travelers try to collect information for planing a trip or when being at the destination. Usually, tourists depend on places’ reviews to make the choice, but this implies prior knowledge of the touristic places and explicit search for suggestions through interaction with applications (i.e., PULL paradigm). In contrast, a PUSH approach, in which the application proactively triggers a recommendation process according to users’ preferences and when necessary, seems to be a more reasonable solution. Recommender systems have become appropriate applications to help tourists in their trip planning. However, they still have limitations, such as poor consideration of users’ profiles and their contexts, their predictable suggestions, and the lack of a standard representation of the knowledge managed. We propose a user-centric recommender system architecture, that supports both PULL and PUSH approaches, assisted by an ontology-based spreading activation algorithm for context-aware recommendations, with a focus on decreasing predictable outputs and increasing serendipity, based on an aging-like approach. To demonstrate its suitability and performance, we develop a first prototype of the architecture and simulate different scenarios, varying users’ profiles, preferences, and context parameters. Results show that the ontology-based spreading activation and the proposed aging system provide relevant and varied recommendations according to users’ preferences, while considering their context and improving the serendipity of the system when comparing with a state-of-the-art workes_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doi10.5220/0010552803580372es_PE
dc.identifier.isbn9789897585234es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/17077
dc.language.isoenges_PE
dc.publisherSciTePresses_PE
dc.publisher.countryPEes_PE
dc.relationinfo:eu-repo/semantics/articlees_PE
dc.relation.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85111776860&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=018b48f241bb6fe21fb771c78fc79858&sot=aff&sdt=cl&cluster=scopubyr%2c%222021%22%2ct&sl=48&s=AF-ID%28%22Universidad+Cat%c3%b3lica+San+Pablo%22+60105300%29&relpos=59&citeCnt=1&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.subjectContext Awarenesses_PE
dc.subjectOntologyes_PE
dc.subjectRecommender Systemses_PE
dc.subjectSerendipityes_PE
dc.subjectTourismes_PE
dc.subjectUser-centrices_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.05es_PE
dc.titleContext-aware and ontology-based recommender system for e-tourismes_PE
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
renati.typehttps://purl.org/pe-repo/renati/type#trabajoAcademico
thesis.degree.disciplineIngeniería Electrónica y de Telecomunicacioneses_PE
thesis.degree.grantorUniversidad Católica San Pablo. Departamento de Ingeniería Eléctrica y Electrónicaes_PE
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos - Ingeniería Electrónica y de Telecomunicaciones