A novel ontology framework supporting model-based tourism recommender

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F21%3A63539178" target="_blank" >RIV/70883521:28120/21:63539178 - isvavai.cz</a>
Result on the web
<a href="http://ijai.iaescore.com/index.php/IJAI/article/view/21012/13255" target="_blank" >http://ijai.iaescore.com/index.php/IJAI/article/view/21012/13255</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11591/IJAI.V10.I4.PP1060-1068" target="_blank" >10.11591/IJAI.V10.I4.PP1060-1068</a>

Result language
angličtina
Original language name
A novel ontology framework supporting model-based tourism recommender
Original language description
In this paper, we present a tourism recommender framework based on the cooperation of ontological knowledge base and supervised learning models. Specifically, a new tourism ontology, which not only captures domain knowledge but also specifies knowledge entities in numerical vector space, is presented. The recommendation making process enables machine learning models to work directly with the ontological knowledge base from training step to deployment step. This knowledge base can work well with classification models (e.g., k-nearest neighbours, support vector machines, or naıve bayes). A prototype of the framework is developed and experimental results confirm the feasibility of the proposed framework.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50204 - Business and management

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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