---
title: "Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments"
authors:
  - "John O'Donovan"
  - "Barry Smyth"
  - "Vesile Evrim"
  - "Dennis McLeod"
doi: ""
url: "https://ijcai.org/proceedings/2007/454"
pdf: "https://ijcai.org/proceedings/2007/0454.pdf"
venue: "Proceedings of the Twentieth International Joint Conference on Artificial Intelligence"
year: 2007
pages: "2826-2830"
track: ""
keywords:
---

# Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments

John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod

*Proceedings of the Twentieth International Joint Conference on Artificial Intelligence*, pages 2826-2830.

## Abstract

Buyers and sellers in online auctions are faced with the task of deciding who to entrust their business to based on a very limited amount of information. Current trust ratings on eBay average over 99 percent positive and are presented as a single number on a user profile. This paper presents a system capable of extracting valuable negative information from the wealth of feedback comments on eBay, computing personalized and feature-based trust and presenting this information graphically.