| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10367265 | Decision Support Systems | 2013 | 12 Pages |
Abstract
⺠We study a large trace of textual feedbacks from a reputation system of an Internet auction. ⺠We discover that users systematically try to add information in the textual comments. ⺠Text-mining and NLP approaches reveal a taxonomy of non-positive feedbacks. ⺠An importance order exists on the categories of non-positive behavior. ⺠A new computational trust representation that extends eBay's DSR is proposed and evaluated.
Keywords
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Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Adam Wierzbicki, Tomasz Kaszuba, Radoslaw Nielek, Paulina Adamska, Anwitaman Datta,