Kimpan, Warangkhana

Loading...
Thumbnail Image
Preferred name
Kimpan, Warangkhana
Alternative Name
Kimpan, W.
Main Affiliation
Email
warangkhana.ki@kmitl.ac.th

Settings

Now showing 1 - 1 of 1
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Thai food recommendation system using hybrid of particle swarm optimization and K-means algorithm
    (2021-04-23)
    Puraram, Tanakorn
    ;
    Chaovalit, Pimwadee
    ;
    Peethong, Apatha
    ;
    Tiyanunti, Pongsak
    ;
    Charoensiriwath, Supiya
    A food recommendation system is an information filtering tool that helps suggest appropriate food menus to users based on their dietary behavior, nutrition, health, or activity. In this paper, a hybrid method of Particle Swarm Optimization (PSO) and K-Means algorithm is proposed to improve the user's dietary behavior clustering and using Principal Component Analysis (PCA) to reduce the data dimension. Moreover, the User-Based Collaborative Filtering technique is used to predict the rating of relevant Thai food menus and recommendation. The experimental result shows the hybrid method improves the clustering performance from 3 models: Hierarchical Clustering, K-Means, and K-Means with PCA, in terms of silhouette coefficient score. In addition, the hybrid method improves the Davies-Bouldin index score by 44%, 19%, and 17% compared to those models, respectively. The rating prediction result shows the hybrid method outperforms the other methods.