返回
Dynamic aspect-based rating system and visualization
DOI:10.1007/s11257-021-09308-5.png)
摘要
En 中文
With an increasing number of product reviews available online, it has become impractical for potential customers to perceive all the available reviews in order to make an informed decision on their purchase. Product ratings that encapsulate product reviews swiftly and easily have become an alternative for customers. However, since several product ratings only display the overall rating, customers may still find it challenging to make an informed decision due to the lack of information between positive and negative reviews. In addition, existing product ratings are static in nature as they do not cater to customers' different needs since they often prioritize different aspects of the product or product features. Accordingly, this paper proposes a dynamic aspect-based rating system accompanied by an aspect-based rating visualization to address the aforementioned problems. This rating system also considers the users' reputations who have given product reviews to give a more holistic view of the users posting reviews. Moreover, our user study shows that our proposed rating visualization can be a competitive alternative in representing a product rating since it has the advantage of being informative and easily customized due to its ability to display rating scores based on users' preferred aspects. In addition, the proposed visualization also enables customers to make more informed decisions since it displays a balance of both positive and negative reviews.
Keyword:
Sentiment analysis
Dynamic aspect-based rating system
Rating visualization
Users' reputation
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
U
IF:
3.5
论文数:
534
被引数:
1.7K
机构
引用论文
Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication智能电网通信中通信接入技术的性能测量及改进的认知无线电模型
Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content评估在线产品评论的内容质量和有用性: 评论有用性与评论内容的相互作用


