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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Autori principali:	Juventania Sheva Mellany, Kusnawi Kusnawi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Institut Teknologi Dirgantara Adisutjipto 2026-02-01
Serie:	Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Soggetti:	hybrid recommendation system content-based filtering term frequency–inverse document frequency (tf-idf) k-nearest neighbors (knn).
Accesso online:	https://ejournals.itda.ac.id/index.php/avitec/article/view/3683
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