[PDF][PDF] Reviewing the past to inform the future: A literature review of social media in tourism

ZZ Zarezadeh, HR Rastegar… - Czech Journal of …, 2018 - intapi.sciendo.com
Acknowledging the significant advancement of social media, the role and impact of social
media has been widely discussed in tourism research. As a result, it has become …

Social recommender systems

I Guy, D Carmel - Proceedings of the 20th international conference …, 2011 - dl.acm.org
The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …

Unsupervised tip-mining from customer reviews

D Zhu, T Lappas, J Zhang - Decision Support Systems, 2018 - Elsevier
In recent years, large review-hosting platforms have extended their functionality to allow
their users to submit tips: short pieces of text that deliver valuable insight on a specific aspect …

Content analysis of online travel reviews

E Marine-Roig - Handbook of e-Tourism, 2022 - Springer
In the past decade, the rise of social media, the proliferation of user-generated content
(UGC), and, consequently, the effect of electronic word-of-mouth (eWoM) have …

Theorizing vloggers' approaches and practices in travel vlog production through grounded theory

MS Gholamhosseinzadeh - Journal of Hospitality Marketing & …, 2023 - Taylor & Francis
Video bloggers, also known as vloggers, continuously create and share authentic videos on
popular platforms like YouTube. Travel influencer vloggers (called vloggers in this study) …

Personalized review recommendation based on users' aspect sentiment

C Huang, W Jiang, J Wu, G Wang - ACM Transactions on Internet …, 2020 - dl.acm.org
Product reviews play an important role in guiding users' purchase decision-making in e-
commerce platforms. However, it is challenging for users to find helpful reviews that meet …

[HTML][HTML] A hybrid CNN-based review helpfulness filtering model for improving e-commerce recommendation Service

Q Li, X Li, B Lee, J Kim - Applied Sciences, 2021 - mdpi.com
As the e-commerce market grows worldwide, personalized recommendation services have
become essential to users' personalized items or services. They can decrease the cost of …

Trust model for online reviews of tourism services and evaluation of destinations

J Zelenka, T Azubuike, M Pásková - Administrative Sciences, 2021 - mdpi.com
Obtaining information about destinations and services they provide is ever more based on
user-generated content (UGC), which includes reviews of tourism services as well as …

Generating product descriptions from user reviews

S Novgorodov, I Guy, G Elad, K Radinsky - The world wide web …, 2019 - dl.acm.org
Product descriptions play an important role in the e-commerce ecosystem, conveying to
buyers information about a merchandise they may purchase. Yet, on leading e-commerce …

[HTML][HTML] BITOUR: A business intelligence platform for tourism analysis

A Bustamante, L Sebastia, E Onaindia - ISPRS International Journal of …, 2020 - mdpi.com
Integrating collaborative data in data-driven Business Intelligence (BI) system brings an
opportunity to foster the decision-making process towards improving tourism …