A Preference Analysis Method Considering the Asymmetric Impact and Competitors Driven by Group Wisdom and Influence Mining From Online Reviews

IF 5 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Intelligent Systems Pub Date : 2025-07-08 DOI:10.1155/int/2901174

Ru-Xin Nie, Meng-Meng Tu, Zhang-Peng Tian

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引用次数: 0

Abstract

Consumers increasingly post online reviews concerning products or services on the social media platforms. Online reviews have become a reliable data source for extracting consumer preferences. Importance-performance analysis (IPA) is widely used in preference analysis, but it normally ignores the effects of the performance of competitors as well as the asymmetric between requirements and satisfaction. Therefore, this study extends the IPA model and proposes a preference analysis method that considers asymmetric impact and competitors based on group wisdom and influence mining from online reviews. To do so, after identifying service attributes from online reviews, preferences hidden in massive online reviews are quantified using linguistic distribution assessments. Then, the influence of reviewers is measured by introducing both the relationship influence and the information influence from different types of reviewers as group wisdom to determine the performance of service attributes. The concept of competitive dominance degree is defined as the degree of competitive advantage relative to that of competitors under realistic contexts. The preference analysis method of this study reflects group wisdom and competitive environments more realistically. Its applicability and effectiveness have been testified in the hospitality industry.

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基于群体智慧和在线评论影响挖掘的非对称影响和竞争者偏好分析方法

消费者越来越多地在社交媒体平台上发布有关产品或服务的在线评论。在线评论已经成为提取消费者偏好的可靠数据源。重要性-绩效分析（IPA）在偏好分析中被广泛使用，但它通常忽略了竞争对手绩效的影响以及需求与满意度之间的不对称。因此，本研究对IPA模型进行了扩展，提出了一种基于群体智慧和在线评论影响挖掘的考虑非对称影响和竞争对手的偏好分析方法。为此，在从在线评论中识别服务属性后，使用语言分布评估对隐藏在大量在线评论中的偏好进行量化。然后，通过引入不同类型评论者的关系影响和信息影响作为群体智慧来衡量评论者的影响力，以确定服务属性的绩效。竞争优势度的概念被定义为在现实情境下相对于竞争对手的竞争优势程度。本研究的偏好分析方法更真实地反映了群体智慧和竞争环境。其适用性和有效性已在酒店业得到验证。

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来源期刊

International Journal of Intelligent Systems 工程技术-计算机：人工智能

CiteScore

11.30

自引率

14.30%

发文量

304

审稿时长

9 months

期刊介绍： The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.