Trustable Aggregation of Online Ratings
- Title
- Trustable Aggregation of Online Ratings
- Author
- 김상욱
- Keywords
- Trust; Robustness; False Reputation; Unfair Ratings
- Issue Date
- 2013-10
- Publisher
- ACM New York
- Citation
- 22nd ACM international conference on Information & Knowledge Management, 2013, P.1233-1236
- Abstract
- The average of the customer ratings on the product, which we call reputation, is one of the key factors in online purchasing decision of a product. There is, however, no guarantee in the trustworthiness of the reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of the reputation to be manipulated by unfair ratings, and design a general framework that provides trustable reputation. For this purpose, we propose TRUEREPUTATION, an algorithm that iteratively adjusts the reputation based on the confidence of customer ratings.
- URI
- https://dl.acm.org/citation.cfm?id=2507863https://repository.hanyang.ac.kr/handle/20.500.11754/73172
- ISBN
- 978-1-4503-2263-8
- DOI
- 10.1145/2505515.2507863
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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