{"title":"Harnessing generative AI for personalized E-commerce product descriptions: A framework and practical insights","authors":"Adam Wasilewski","doi":"10.1016/j.csi.2025.104012","DOIUrl":null,"url":null,"abstract":"<div><div>The role of electronic commerce (e-commerce) in the global economy has been steadily increasing, highlighting the benefits of business digitization for flexibility and resilience in response to environmental changes. Among emerging trends, the integration of artificial intelligence (AI) and machine learning is particularly notable, especially the application of large language models to personalize user interactions throughout the customer journey. A promising future direction is the use of generative AI to create customized e-commerce product descriptions for personalized, multivariant user interfaces. To validate this approach, a framework and metrics are proposed to assess the impact of segment-specific information on generated text. This led to the positioning of AI-generated content within a multivariant user interface architecture and the adaptation of a cosine similarity measure to evaluate text differentiation. The findings confirmed that the specific characteristics of e-commerce customer clusters enable generative AI to produce significantly distinct product descriptions. While differences were not statistically significant in 26.7% of cases, full differentiation was achieved for descriptions of sufficient length.</div></div>","PeriodicalId":50635,"journal":{"name":"Computer Standards & Interfaces","volume":"94 ","pages":"Article 104012"},"PeriodicalIF":4.1000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Standards & Interfaces","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920548925000418","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
The role of electronic commerce (e-commerce) in the global economy has been steadily increasing, highlighting the benefits of business digitization for flexibility and resilience in response to environmental changes. Among emerging trends, the integration of artificial intelligence (AI) and machine learning is particularly notable, especially the application of large language models to personalize user interactions throughout the customer journey. A promising future direction is the use of generative AI to create customized e-commerce product descriptions for personalized, multivariant user interfaces. To validate this approach, a framework and metrics are proposed to assess the impact of segment-specific information on generated text. This led to the positioning of AI-generated content within a multivariant user interface architecture and the adaptation of a cosine similarity measure to evaluate text differentiation. The findings confirmed that the specific characteristics of e-commerce customer clusters enable generative AI to produce significantly distinct product descriptions. While differences were not statistically significant in 26.7% of cases, full differentiation was achieved for descriptions of sufficient length.
期刊介绍:
The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking.
Computer Standards & Interfaces is an international journal dealing specifically with these topics.
The journal
• Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels
• Publishes critical comments on standards and standards activities
• Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods
• Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts
• Stimulates relevant research by providing a specialised refereed medium.