Hybrid Food Recommendation System using Term Frequency–Inverse Document Frequency (TF-IDF), K-Nearest Neighbors (KNN), and Tag-Based Similarity

The rapid growth of the digital culinary industry increases the need for intelligent menu recommendation systems that can assist customers in making accurate and personalized choices. This study develops a hybrid food recommendation system that integrates three complementary approaches: popularity-b...

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Bibliografiske detaljer

Principais autores:	Juventania Sheva Mellany, Kusnawi Kusnawi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Institut Teknologi Dirgantara Adisutjipto 2026-02-01
Serier:	Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Fag:	hybrid recommendation system content-based filtering term frequency–inverse document frequency (tf-idf) k-nearest neighbors (knn).
Online adgang:	https://ejournals.itda.ac.id/index.php/avitec/article/view/3683
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