Toward a Fair Review-Management System
Abstract
Item reviews are a valuable source of information for potential buyers, who are looking for information on a product’s attributes before making a purchase decision. This search of information is often hindered by overwhelming numbers of available reviews, as well as low-quality and noisy content. While a significant amount of research has been devoted to filtering and organizing review corpora toward the benefit of the buyers, a crucial part of the reviewing process has been overlooked: reviewer satisfaction . As in every content-based system, the content-generators, in this case the reviewers, serve as the driving force. Therefore, keeping the reviewers satisfied and motivated to continue submitting high-quality content is essential. In this paper, we propose a system that helps potential buyers by focusing on high-quality and informative reviews, while keeping reviewers content and motivated.
Cite
Text
Lappas and Terzi. "Toward a Fair Review-Management System." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23783-6_19Markdown
[Lappas and Terzi. "Toward a Fair Review-Management System." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/lappas2011ecmlpkdd-fair/) doi:10.1007/978-3-642-23783-6_19BibTeX
@inproceedings{lappas2011ecmlpkdd-fair,
title = {{Toward a Fair Review-Management System}},
author = {Lappas, Theodoros and Terzi, Evimaria},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2011},
pages = {293-309},
doi = {10.1007/978-3-642-23783-6_19},
url = {https://mlanthology.org/ecmlpkdd/2011/lappas2011ecmlpkdd-fair/}
}