AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL

8 citations as recorded by crossref.

1. Knowledge-based recommender systems: overview and research directions M. Uta et al. https://doi.org/10.3389/fdata.2024.1304439
2. A Framework for Recommender System to Support Personalization in an E-Learning System Z. Gulzar & A. Leema https://doi.org/10.4018/IJWLTT.2018070104
3. A novel hybrid recommender system approach for student academic advising named COHRS, supported by case-based reasoning and ontology C. Obeid et al. https://doi.org/10.2298/CSIS220215011O
4. An Ontology for Modeling Cultural Heritage Knowledge in Urban Tourism A. Pinto et al. https://doi.org/10.1109/ACCESS.2022.3179664
5. Novel predictive model to improve the accuracy of collaborative filtering recommender systems B. Alhijawi et al. https://doi.org/10.1016/j.is.2020.101670
6. A Fusion of Recommendation Techniques to Deliver Personalized Tourism Experience F. Majeed et al. https://doi.org/10.1049/sfw2/9218059
7. Course Recommendation Based on Query Classification Approach Z. Gulzar & A. Leema https://doi.org/10.4018/IJWLTT.2018070105
8. Tourism recommendation based on word embedding from card transaction data M. Hong et al. https://doi.org/10.2298/CSIS220620002H