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Collaborative Filtering-Based Recommendation Systems for Touristic Businesses, Attractions, and Destinations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-021-06872-0openalex-snapshot
Deep learning and Internet of Things for tourist attraction recommendations in smart cities
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100255openalex-snapshot
Context Aware Recommendation Systems: A review of the state of the art techniques
inferredcites →https://doi.org/10.1016/j.procs.2015.04.237openalex-snapshot
Matrix Factorization Model in Collaborative Filtering Algorithms: A Survey
inferredcites →https://doi.org/10.1016/j.procs.2022.09.252openalex-snapshot
Avoiding the Overspecialization of Recommender Systems in Tourism with Semantic Trajectories, Initial Thoughts
inferredcites →https://doi.org/10.1080/16168658.2021.2019430openalex-snapshot
A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model
inferredcites →https://doi.org/10.1109/access.2019.2935155openalex-snapshot
Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model
inferredcites →https://doi.org/10.1109/icacsis.2016.7872755openalex-snapshot
A comparative analysis of memory-based and model-based collaborative filtering on the implementation of recommender system for E-commerce in Indonesia: A case study PT X
inferredcites →https://doi.org/10.1109/tkde.2019.2943854openalex-snapshot
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation
inferredcites →https://doi.org/10.1145/3383313.3411450openalex-snapshot
Online Recommender system for Accessible Tourism Destinations
inferredcites →https://doi.org/10.1145/3386164.3389103openalex-snapshot
An Optimal Travel Route Recommender System for Tourists in Om Non Canal, Thailand
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3437963.3441759openalex-snapshot
Bilateral Variational Autoencoder for Collaborative Filtering
inferredcites →https://doi.org/10.1155/2022/1424097openalex-snapshot
Design and Implementation of a Personalized Tourism Recommendation System Based on the Data Mining and Collaborative Filtering Algorithm
inferredcites →https://doi.org/10.1504/ijcc.2021.120397openalex-snapshot
Tourism recommender systems: an overview
inferredcites →https://doi.org/10.3390/app11209554openalex-snapshot
Collaborative Filtering Recommendation Algorithm Based on TF-IDF and User Characteristics
inferredcites →https://doi.org/10.3390/electronics11020242openalex-snapshot
An Improved Recommender System Solution to Mitigate the Over-Specialization Problem Using Genetic Algorithms
inferredcites →https://doi.org/10.3390/ijgi10010020openalex-snapshot
A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos
inferredcites →https://doi.org/10.3390/s23073679openalex-snapshot
Real-Time Context-Aware Recommendation System for Tourism
inferredcites →https://doi.org/10.3390/su13158141openalex-snapshot
Systematic Review of Contextual Suggestion and Recommendation Systems for Sustainable e-Tourism
inferredcites →https://doi.org/10.36548/jismac.2021.4.006openalex-snapshot
A Systematic Survey of Tourism Recommender System Techniques and Challenges

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-01133-6_20openalex-snapshot
Optimization of Tourism Recommendation System Using Item-Based Collaborative Filtering Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-032-16702-6_15openalex-snapshot
Classification of Reading Data Incorporating ABC Clustering and Reinforcement Learning and Personalized Recommendation Research
inferred← citeshttps://doi.org/10.1007/978-3-032-25032-2_6openalex-snapshot
CDRS-PC-JSW: A Context-Driven Collaborative Filtering with Probabilistic Clustering and Divergence-Based Similarity - Jensen–Shannon vs Wasserstein
inferred← citeshttps://doi.org/10.1007/978-981-96-4539-8_22openalex-snapshot
Exploring the Effectiveness of Collaborative and Content-Based Filtering Techniques in Movie Recommendation Systems with Explainable AI
inferred← citeshttps://doi.org/10.1007/s41060-025-00981-yopenalex-snapshot
CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system
inferred← citeshttps://doi.org/10.1007/s43926-026-00422-7openalex-snapshot
A two-level security-aware reactive caching for IoT-edge data centers using deep learning and hyperledger fabric blockchain-driven access control
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.101024openalex-snapshot
Advancements and challenges in recommendation systems for the tourism industry: A comprehensive literature review
inferred← citeshttps://doi.org/10.1038/s41598-026-38853-5openalex-snapshot
A hybrid recommendation framework utilizing domain-adaptive RoBERTa embeddings for enhanced personalization in e-commerce
inferred← citeshttps://doi.org/10.1080/10941665.2024.2437626openalex-snapshot
A study on enhancing culinary tourism: personalized menu recommendation using auto-tagging
inferred← citeshttps://doi.org/10.1109/aic66080.2025.11212040openalex-snapshot
Comparative Analysis of Collaborative Filtering for Resolving Scalability Issue in Recommender System
inferred← citeshttps://doi.org/10.1109/atscm67505.2025.11473464openalex-snapshot
Artificial Intelligence in Tourism: Toward an Integrated Model of Travel Planning
inferred← citeshttps://doi.org/10.1109/conmedia60526.2023.10428207openalex-snapshot
Bipartite Graph-Based Recommendation Systems: Introducing the Enhanced Graph Convolutional Neural Network Method for Indonesian Tourism
inferred← citeshttps://doi.org/10.1109/dasa63652.2024.10836343openalex-snapshot
Large Language Models for Decision-Making Enhancement in Tourism Package Customization
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507220openalex-snapshot
AI-Based Movie Recommendation System Using K-Nearest Neighbors and Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/icic68054.2025.11309419openalex-snapshot
Implementation of a Web-Based Indonesia Tourist Attraction Recommendation System Using Collaborative and Content-Based Filtering Approach
inferred← citeshttps://doi.org/10.1109/iciss62896.2024.10751604openalex-snapshot
Application of Collaborative Filtering Method to Recommend Tourist Destinations in Jakarta City
inferred← citeshttps://doi.org/10.1109/icpcsn68523.2026.11543608openalex-snapshot
A Retrieval-Grounded Multi-Agent Framework for Intelligent Personalized Itinerary Planning
inferred← citeshttps://doi.org/10.1145/3764912.3770842openalex-snapshot
A Deep Learning-Based Heatmap Travel Recommendation System
inferred← citeshttps://doi.org/10.30587/indexia.v6i1.7386openalex-snapshot
PENGELOLAAN POPULASI KUCING LIAR MELALUI COLLABORATIVE FILTERING: DAMPAK TERHADAP KESEHATAN MASYARAKAT DAN EKOSISTEM LOKAL
inferred← citeshttps://doi.org/10.30812/matrik.v24i2.4775openalex-snapshot
Optimization of Content Recommendation System Based on User Preferences Using Neural Collaborative Filtering
inferred← citeshttps://doi.org/10.3390/electronics12234831openalex-snapshot
Community-Enhanced Contrastive Learning for Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.3390/electronics12245034openalex-snapshot
A Service Recommendation System Based on Dynamic User Groups and Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/informatics12030081openalex-snapshot
A Flexible Profile-Based Recommender System for Discovering Cultural Activities in an Emerging Tourist Destination
inferred← citeshttps://doi.org/10.3390/su17052328openalex-snapshot
Leveraging Spectral Clustering and Long Short-Term Memory Techniques for Green Hotel Recommendations in Saudi Arabia
inferred← citeshttps://doi.org/10.3390/sym15122168openalex-snapshot
Tour Route Recommendation Model by the Improved Symmetry-Based Naive Bayes Mining and Spatial Decision Forest Search
inferred← citeshttps://doi.org/10.36074/grail-of-science.03.04.2026.032openalex-snapshot
ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ПЕРСОНАЛІЗАЦІЇ ТУРИСТИЧНИХ РЕКОМЕНДАЦІЙ
inferred← citeshttps://doi.org/10.4018/jcit.371409openalex-snapshot
Building a Machine Learning Algorithm-Based Model to Suggest Tourist Attractions in Response to Travelers' “Slow Life” Requirements
inferred← citeshttps://doi.org/10.51903/jtie.v3i2.190openalex-snapshot
Leveraging Machine Learning for Personalized Recommendations in Mobile Tourism: A Study on Collaborative and Content-Based Filtering
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