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,...
Published in: | 2024 International Visualization, Informatics and Technology Conference, IVIT 2024 |
---|---|
Main Author: | Azman N.A.B.N.; Daud N.M.N.; Sabri N.M.; Abu Bakar N.A.A. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207069403&doi=10.1109%2fIVIT62102.2024.10692708&partnerID=40&md5=2d4b4b0c710bd662069810473e14a09f |
Similar Items
-
Integrating Business Intelligence and Recommendation Marketplace System for Hawker Using Content Based Filtering
by: 2-s2.0-85176611567
Published: (2023) -
Exploring the accessibility and content quality of the Go2homestay website
by: 2-s2.0-84907305717
Published: (2015) -
ReciPicker: Recipe recommendation using hybrid filtering for reducing food waste
by: Mohd Rosli M.; Abdullah N.A.S.; Ruzaini A.
Published: (2019) -
Recommender System for Book Review based on Clustering Algorithms
by: Udariansyah D.; Kurniawan T.B.; Dewi D.A.; Zakaria M.Z.; Hanan N.S.B.A.
Published: (2025) -
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data
by: Seman A.; Bakar Z.A.; Isa M.N.
Published: (2012)