Search Results - (( tourism destination based algorithm ) OR ( panel classification using algorithm ))
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Modeling tourism movements and sentiments using spatial analysis based on social media big data
Published 2023“…Tourist attention and sentiment analysis based on social media big data will support decision-makers to plan a comprehensive framework for Sabah tourism, so that more areas in Sabah can enjoy the economic growth brought by tourism.…”
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A Multi-Criteria Recommendation Technique for Personalized Tourism Experiences
Published 2025“…Recommendation systems use algorithms to analyze user data and provide personalized recommendations based on their past behaviour and preferences. …”
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Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
Published 2020“…This leads to the problem of understanding the meaning behind the texts and difficult to discover the sentiment polarity of certain words. Cultural tourism in Malaysia is lacking in terms of their promotional activities and any related authorities in the tourism industry often overlooked the reviews from tourists about cultural heritage destinations. …”
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Gamification of Regional Tourism Engagement: Analysis and Design of a Web-Based Information System
Published 2025“…Gamification has emerged as a promising strategy to enhance user participation across various sectors, including tourism. This paper presents the design and development of NusaQuest, a gamified tourism learning application aimed at engaging users with Indonesian culture and destinations through quizzes, multiplayer challenges, and reward-based progression. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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A Weighted-Based Approach To Prioritize User Preferences In Information Retrieval
Published 2008“…The critical idea carried out by a weighted based algorithm is that, when one attributes links to another, it is basically casting a vote for the other attribute. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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