Homestay Recommender System Using Content-Based Filtering and K-Means Algorithm
The challenge of finding an ideal homestay that aligns with user preferences is significant due to the volume of available choices and the limitations of existing search filters on accommodation websites. Users face several issues when searching for homestays online, such as limited search filters,...
الحاوية / القاعدة: | 2024 International Visualization, Informatics and Technology Conference, IVIT 2024 |
---|---|
المؤلف الرئيسي: | Azman N.A.B.N.; Daud N.M.N.; Sabri N.M.; Abu Bakar N.A.A. |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207069403&doi=10.1109%2fIVIT62102.2024.10692708&partnerID=40&md5=2d4b4b0c710bd662069810473e14a09f |
مواد مشابهة
-
Integrating Business Intelligence and Recommendation Marketplace System for Hawker Using Content Based Filtering
بواسطة: 2-s2.0-85176611567
منشور في: (2023) -
Exploring the accessibility and content quality of the Go2homestay website
بواسطة: 2-s2.0-84907305717
منشور في: (2015) -
ReciPicker: Recipe recommendation using hybrid filtering for reducing food waste
بواسطة: Mohd Rosli M.; Abdullah N.A.S.; Ruzaini A.
منشور في: (2019) -
Recommender System for Book Review based on Clustering Algorithms
بواسطة: Udariansyah D.; Kurniawan T.B.; Dewi D.A.; Zakaria M.Z.; Hanan N.S.B.A.
منشور في: (2025) -
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data
بواسطة: Seman A.; Bakar Z.A.; Isa M.N.
منشور في: (2012)