Knowledge Commons of Institute of Automation,CAS
Application of Machine Learning for Online Reputation | |
Ahmad Alqwadri1; Mohammad Azzeh2; Fadi Almasalha1 | |
发表期刊 | International Journal of Automation and Computing |
ISSN | 1476-8186 |
2021 | |
卷号 | 18期号:3页码:492-502 |
摘要 | Users on the Internet usually require venues to provide better purchasing recommendations. This can be provided by a reputation system that processes ratings to provide recommendations. The rating aggregation process is a main part of reputation systems to produce global opinions about the product quality. Naive methods that are frequently used do not consider consumer profiles in their calculations and cannot discover unfair ratings and trends emerging in new ratings. Other sophisticated rating aggregation methods that use a weighted average technique focus on one or a few aspects of consumers′ profile data. This paper proposes a new reputation system using machine learning to predict reliability of consumers from their profile. In particular, we construct a new consumer profile dataset by extracting a set of factors that have a great impact on consumer reliability, which serve as an input to machine learning algorithms. The predicted weight is then integrated with a weighted average method to compute product reputation score. The proposed model has been evaluated over three MovieLens benchmarking datasets, using 10-folds cross validation. Furthermore, the performance of the proposed model has been compared to previous published rating aggregation models. The obtained results were promising which suggest that the proposed approach could be a potential solution for reputation systems. The results of the comparison demonstrated the accuracy of our models. Finally, the proposed approach can be integrated with online recommendation systems to provide better purchasing recommendations and facilitate user experience on online shopping markets. |
关键词 | Reputation system rating aggregation machine learning consumer reliability user trust |
DOI | 10.1007/s11633-020-1275-7 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44297 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Department of Computer Science, Applied Science Private University, Amman 11931, Jordan 2.Department of Software Engineering, Applied Science Private University, Amman 11931, Jordan |
推荐引用方式 GB/T 7714 | Ahmad Alqwadri,Mohammad Azzeh,Fadi Almasalha. Application of Machine Learning for Online Reputation[J]. International Journal of Automation and Computing,2021,18(3):492-502. |
APA | Ahmad Alqwadri,Mohammad Azzeh,&Fadi Almasalha.(2021).Application of Machine Learning for Online Reputation.International Journal of Automation and Computing,18(3),492-502. |
MLA | Ahmad Alqwadri,et al."Application of Machine Learning for Online Reputation".International Journal of Automation and Computing 18.3(2021):492-502. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
IJAC-2020-08-213.pdf(1091KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论