Results 91 to 100 of about 1,004 (184)

Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca. [PDF]

Neural Comput Appl, 2023
Alsayat A.
europepmc   +1 more source

Analyzing tourism reviews using an LDA topic-based sentiment analysis approach. [PDF]

MethodsX, 2022
Ali T, Omar B, Soulaimane K.
europepmc   +1 more source

Investigation of Consumer Reviews on Social Media for Five-Star Hotel Enterprises in Istanbul: A Case of TripAdvisor

Journal of Tourismology, 2019
Today, access to social media on the internet is becoming easier and the number of active users on social media is increasing day by day. This mobility causes social media platforms to become a frequently used source of information.
Serkan AK, Mithat Zeki DİNCER
doaj  

Measuring sustainable tourism with online platform data. [PDF]

EPJ Data Sci, 2022
Hoffmann FJ, Braesemann F, Teubner T.
europepmc   +1 more source

Development of a travel recommendation algorithm based on multi-modal and multi-vector data mining. [PDF]

PeerJ Comput Sci, 2023
Liu R.
europepmc   +1 more source

When Hotel Guests Complain About Tobacco, Electronic Cigarettes, and Cannabis: Lessons for Implementing Smoking Bans. [PDF]

Tob Use Insights, 2022
Weigel EA, Matt GE.
europepmc   +1 more source

A Hybrid Method for Customer Segmentation in Saudi Arabia Restaurants Using Clustering, Neural Networks and Optimization Learning Techniques. [PDF]

Arab J Sci Eng, 2023
Alghamdi A.
europepmc   +1 more source

Enhanced sentiment analysis in tourism reviews via multimodal graph convolutional networks. [PDF]

PLoS One
Yang W, Xue Z, Fu G, Chen G, Yang C.
europepmc   +1 more source

A review on individual and multistakeholder fairness in tourism recommender systems. [PDF]

Front Big Data, 2023
Banerjee A, Banik P, Wörndl W.
europepmc   +1 more source

Användarnas Informationsbehov av Tripadvisor & Digitalomdömenas Påverkan

, 2016
Tripadvisor is a Travel site that enables its users for planning their travels around the world. It consists of user generated content and users can also add online reviews for each destination.The aim of our bachelor thesis is, understanding Tripadvisor user behaviour and the impact of online reviews on Tripadvisor.
Erik, Firat, Akbasogulları, Mehmet
openaire   +1 more source