A Robust Reputation System using Online Reviews

被引：2

作者：

Oh, Hyun-Kyo ^{[1
]}

Jung, Jongbin ^{[2
]}

Park, Sunju ^{[3
]}

Kim, Sang-Wook ^{[4
,5
]}

机构：

[1] Samsung Elect, Suwon, South Korea

[2] Stanford Univ, Stanford, CA 94305 USA

[3] Yonsei Univ, Sch Business, Operat Decis & Informat, Seoul, South Korea

[4] Hanyang Univ, Dept Comp Sci & Engn, Seoul, South Korea

[5] Hanyang Univ, Brain Korea21 Plus Res Program, Seoul, South Korea

来源：

COMPUTER SCIENCE AND INFORMATION SYSTEMS | 2020年 / 17卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

reputation; reviews; attacks; E-MARKETPLACES; TRUST; MODEL;

D O I：

10.2298/CSIS191122007O

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Evaluating sellers in an online marketplace is an important yet non-trivial task. Many online platforms such as eBay and Amazon rely on buyer reviews to estimate the reliability of sellers on their platform. Such reviews are, however, often biased by: (1) intentional attacks from malicious users and (2) conflation be-tween a buyer's perception of seller performance and item satisfaction. Here, we present a novel approach to mitigating these issues by decoupling measures of seller performance and item quality, while reducing the impact of malignant reviews. An extensive simulation study shows that our proposed method can recover seller rep-utations with high rank correlation even under assumptions of extreme noise.

引用

页码：487 / 507

页数：21

共 50 条

[1] A Robust and Fast Reputation System for Online Rating Systems
Rezvani, Mohsen
Rezvani, Mojtaba
[J]. WEB INFORMATION SYSTEMS ENGINEERING, WISE 2017, PT II, 2017, 10570 : 175 - 183
[2] Clash of reputation and status in online reviews
Mun, Hyejin
Lee, Chul Ho
Jung, Hyunju
Yasin, Ceran
[J]. INFORMATION TECHNOLOGY & MANAGEMENT, 2023, 24 (01): : 55 - 77
[3] Clash of reputation and status in online reviews
Hyejin Mun
Chul Ho Lee
Hyunju Jung
Ceran Yasin
[J]. Information Technology and Management, 2023, 24 : 55 - 77
[4] Monitoring online reviews for reputation fraud campaigns
Wang, Zhuo
Chen, Qian
[J]. KNOWLEDGE-BASED SYSTEMS, 2020, 195
[5] Firm responsiveness to consumers' reviews: The effect on online reputation
Rezvani, Erfan
Rojas, Christian
[J]. JOURNAL OF ECONOMICS & MANAGEMENT STRATEGY, 2022, 31 (04) : 898 - 922
[6] Assessing Corporate Reputation from Online Employee Reviews
Loke, R. E.
Steentjes, I. J. A. A.
[J]. MARKETING AND SMART TECHNOLOGIES, VOL 1, 2022, 279 : 243 - 257
[7] EVALUATION OF COLLECTING REVIEWS IN CENTRALIZED ONLINE REPUTATION SYSTEMS
Liu, Ling
Munro, Malcolm
Song, William
[J]. WEBIST 2010: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGY, VOL 2, 2010, : 281 - 286
[8] Robust online reputation mechanism by stochastic approximation
Sakai, T
Terada, K
Araragi, T
[J]. ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS II: ADAPTATION AND MULTI-AGENT LEARNING, 2005, 3394 : 230 - 244
[9] A robust reputation system for the Grid
Weng, Jianshu
Miao, Chunyan
Goh, Angela
[J]. Sixth IEEE International Symposium on Cluster Computing and the Grid: SPANNING THE WORLD AND BEYOND, 2006, : 548 - 551
[10] Online Guest Reviews Reputation: Its Importance in a Pandemic Crisis
Sa, Susana
Costa, Eusebio
Borges, Isabel
Mota, Catarina
Leite, Sonia
Noronha, Ana Raquel
[J]. ADVANCES IN TOURISM, TECHNOLOGY AND SYSTEMS, VOL 2, 2022, 284 : 525 - 535

← 1 2 3 4 5 →