Ranking hotel products by integrating online ratings from multiple platforms

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2024-04-08 DOI:10.1016/j.im.2024.103959

Xianli Wu , Huchang Liao , Eric W.T. Ngai

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引用次数: 0

Abstract

The proliferation of third-party platforms has led to the same product or service appearing across multiple platforms. To facilitate consumers' purchase decisions, it is essential to rank products based on online ratings from various platforms. However, ranking such products poses challenges due to discrepancies across platforms. In this paper, we propose a model for ranking products based on the evidential reasoning approach. The proposed model aims to overcome these challenges by determining a finite set of possible hypotheses, with the power set containing all possible subsets and a basic probability assignment (BPA) based on the distribution of ratings on a given platform. The model then calculates the weight of each platform and adjusts the BPA using the importance discounting method. It combines discounted BPAs using the proportional conflict redistribution rule number 5. The belief structure is then transferred into a score to rank alternatives. Finally, we validate our model by ranking hotels in Hong Kong, China, collected from popular platforms such as TripAdvisor, Agoda, Booking.com, Expedia, and Trip.com. Our case study demonstrates that our model leverages evidence combination to neutralize inconsistent information across platforms and maintain consistent opinions.

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通过整合多个平台的在线评分对酒店产品进行排名

第三方平台的激增导致同一产品或服务出现在多个平台上。为了方便消费者做出购买决策，必须根据不同平台的在线评分对产品进行排名。然而，由于各平台之间存在差异，对此类产品进行排名是一项挑战。本文提出了一种基于证据推理方法的产品排名模型。所提出的模型旨在通过确定有限的可能假设集来克服这些挑战，其中幂集包含所有可能的子集和基于给定平台上评分分布的基本概率分配（BPA）。然后，该模型计算每个平台的权重，并使用重要性折扣法调整 BPA。它使用第 5 号比例冲突再分配规则将折算后的 BPA 结合起来。然后将信念结构转化为分数，对备选方案进行排序。最后，我们通过对 TripAdvisor、Agoda、Booking.com、Expedia 和 Trip.com 等热门平台上的中国香港酒店进行排名来验证我们的模型。我们的案例研究表明，我们的模型利用证据组合来中和平台间不一致的信息，并保持意见的一致性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.