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 …
Feature selection for helpfulness prediction of online product reviews: An empirical study
Online product reviews underpin nearly all e-shopping activities. The high volume of data,
as well as various online review quality, puts growing pressure on automated approaches …
as well as various online review quality, puts growing pressure on automated approaches …
A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach
Review helpfulness prediction aims to provide helpful reviews for customers to make
purchase decisions. Although many studies have proposed prediction mechanisms, few …
purchase decisions. Although many studies have proposed prediction mechanisms, few …
Byte embeddings for file fragment classification
ME Haque, ME Tozal - Future Generation Computer Systems, 2022 - Elsevier
In digital forensics, file carving is the process of recovering files on a storage media in part or
in whole without any file system information. An important problem in file carving is the …
in whole without any file system information. An important problem in file carving is the …
Profiling users' behavior, and identifying important features of review “helpfulness”
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 …
can be used to explore interesting patterns. It is in the primary interest of businesses to retain …
An interactive network for end-to-end review helpfulness modeling
Review helpfulness prediction aims to prioritize online reviews by quality. Existing methods
largely combine review texts and star ratings for helpfulness prediction. However, star …
largely combine review texts and star ratings for helpfulness prediction. However, star …
Integrated feature engineering based deep learning model for predicting customer's review helpfulness
In the current market scenario, online customer reviews had a significant impact on boosting
the sale of online products. Recently, there has been exponential growth in e-commerce …
the sale of online products. Recently, there has been exponential growth in e-commerce …
Predicting helpfulness of crowd-sourced reviews: A survey
With the recent advancement of Web 2.0 and the popularity of social media platforms, the
volume of User Generated Content (UGC) is rising explosively. Online reviews are rapidly …
volume of User Generated Content (UGC) is rising explosively. Online reviews are rapidly …
From helpfulness prediction to helpful review retrieval for online product reviews
Nowadays, online product reviews belong to a valuable data source for customers in e-
commerce. They provide customers with helpful details about a given product before …
commerce. They provide customers with helpful details about a given product before …
Identification of significant features and machine learning technique in predicting helpful reviews
SJS Quaderi, KD Varathan - PeerJ Computer Science, 2024 - peerj.com
Consumers nowadays rely heavily on online reviews in making their purchase decisions.
However, they are often overwhelmed by the mass amount of product reviews that are being …
However, they are often overwhelmed by the mass amount of product reviews that are being …