Review helpfulness prediction on e-commerce websites: A comprehensive survey

S Saumya, PK Roy, JP Singh - Engineering Applications of Artificial …, 2023 - Elsevier
This comprehensive survey investigates methodologies and factors utilized for predicting
review helpfulness on e-commerce websites. Analyzing 132 research publications from the …

[HTML][HTML] A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value

I Bueno, RA Carrasco, C Porcel, G Kou… - Applied Soft …, 2021 - Elsevier
As a consequence of the exponential growth in online data, tourism sector has
experimented a radical transformation. From this large amount of information, opinion …

Taking the Chat out of Chatbot? Collecting user reviews with Chatbots and web forms

A Sachdeva, A Kim, AR Dennis - Journal of Management …, 2024 - Taylor & Francis
Firms are beginning to use chatbots to collect information from users (eg, online reviews), a
task traditionally done through forms. We used two experiments to investigate how collecting …

Love or like: gender effects in emotional expression in online reviews

E Abdul-Ghani, J Kim, J Kwon, KF Hyde… - European Journal of …, 2022 - emerald.com
Purpose Given the socialisation of men and women to their gender roles and expression of
emotion, this study aims to investigate whether there are gender differences in the use of …

Profiling users' behavior, and identifying important features of review “helpfulness”

M Bilal, M Marjani, MI Lali, N Malik, A Gani… - IEEE …, 2020 - ieeexplore.ieee.org
The increasing volume of online reviews and the use of review platforms leave tracks that
can be used to explore interesting patterns. It is in the primary interest of businesses to retain …

Understanding of customer decision-making behaviors depending on online reviews

YG Noh, J Jeon, JH Hong - Applied Sciences, 2023 - mdpi.com
With a never-ending stream of reviews propagating online, consumers encounter countless
good and bad reviews. Depending on which reviews consumers read, they get a different …

[PDF][PDF] Credible vs fake: A literature review on differentiating online reviews based on credibility

E Abedin, A Mendoza, S Karunasekera - 2020 - researchgate.net
Consumer reviews are a valuable source of information and are often the main factor for
decisions about purchases. However, not all reviews are credible. Many scholars have …

[PDF][PDF] Whereto for automated coaching conversation: structured intervention or adaptive generation?

A Göldi, R Rietsche - 2023 - alexandria.unisg.ch
In an age of life-long learning, it is important that adult learners can effectively use their
motivation and resources to reach their learning goals. In conversation, coaches can …

Enhancing Peer Review with AI-Powered Suggestion Generation Assistance: Investigating the Design Dynamics

SP Neshaei, R Rietsche, X Su… - Proceedings of the 29th …, 2024 - dl.acm.org
While writing peer reviews resembles an important task in science, education, and large
organizations, providing fruitful suggestions to peers is not a straightforward task, as different …

Review helpfulness prediction using convolutional neural networks and gated recurrent units

ME Basiri, S Habibi - 2020 6th International Conference on …, 2020 - ieeexplore.ieee.org
Product reviews are one of the most important types of user-generated contents that are
becoming more and more available. These reviews are valuable sources of knowledge for …