Review helpfulness prediction on e-commerce websites: A comprehensive survey
This comprehensive survey investigates methodologies and factors utilized for predicting
review helpfulness on e-commerce websites. Analyzing 132 research publications from the …
review helpfulness on e-commerce websites. Analyzing 132 research publications from the …
Effectiveness of fine-tuned BERT model in classification of helpful and unhelpful online customer reviews
M Bilal, AA Almazroi - Electronic Commerce Research, 2023 - Springer
The problem of information overload in online review platforms has seriously hampered
many customers' ability to evaluate the quality of products or businesses when making …
many customers' ability to evaluate the quality of products or businesses when making …
Helpfulness of online consumer reviews: A multi-perspective approach
S Mitra, M Jenamani - Information Processing & Management, 2021 - Elsevier
Helpful online reviews crave the attention of many researchers as it significantly affects
purchase decision. However, consumers' perception of helpfulness remains an open …
purchase decision. However, consumers' perception of helpfulness remains an open …
Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation
An overwhelming majority of previous works find longer product reviews to be more helpful
than short reviews. In this paper, we build upon information overload theory and propose …
than short reviews. In this paper, we build upon information overload theory and propose …
Toward personalized answer generation in e-commerce via multi-perspective preference modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted
increasing attention as it can act as an intelligent online shopping assistant and improve the …
increasing attention as it can act as an intelligent online shopping assistant and improve the …
Revisiting review helpfulness prediction: An advanced deep learning model with multimodal input from Yelp
T Zheng, Z Lin, Y Zhang, Q Jiao, T Su, H Tan… - International Journal of …, 2023 - Elsevier
The ways in which different components collectively influence review helpfulness is not well
understood in hospitality. This study shows how multiple review data modalities can be …
understood in hospitality. This study shows how multiple review data modalities can be …
Profiling reviewers' social network strength and predicting the “Helpfulness” of online customer reviews
Online customer reviews have become a popular source of information that influences the
purchasing decisions of many prospective customers. However, the rapidly increasing …
purchasing decisions of many prospective customers. However, the rapidly increasing …
Meta-KD: A meta knowledge distillation framework for language model compression across domains
Pre-trained language models have been applied to various NLP tasks with considerable
performance gains. However, the large model sizes, together with the long inference time …
performance gains. However, the large model sizes, together with the long inference time …
D-hrsp: Dataset of helpful reviews for service providers
Most common services are now provided through mobile applications; thus, the importance
of mobile application reviews has increased. Service providers and developers seek helpful …
of mobile application reviews has increased. Service providers and developers seek helpful …
SANCL: Multimodal review helpfulness prediction with selective attention and natural contrastive learning
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (MRHP) that
identifies the helpfulness score of multimodal product reviews has become a research …
identifies the helpfulness score of multimodal product reviews has become a research …