{"title":"评估推荐引擎对不同产品类别客户体验的影响","authors":"K. Sasanuma, Gyung Yeol Yang","doi":"10.4018/ijthi.345928","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI)-powered tools such as recommendation engines are widely used in online marketing and e-commerce; however, online retailers often deploy these tools without understanding which human factors play a role in which products and at which stage of the customer journey. Understanding the interaction between AI-powered tools and humans can help practitioners create more effective online marketing platforms and improve human interaction with e-commerce tools. This paper examines customers' reliance on recommendation engines when purchasing fashion goods, electronics, and media content such as video and music. This paper also discusses the potential for improvement in recommendation engines in online marketing and e-commerce.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Effectiveness of Recommendation Engines on Customer Experience Across Product Categories\",\"authors\":\"K. Sasanuma, Gyung Yeol Yang\",\"doi\":\"10.4018/ijthi.345928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI)-powered tools such as recommendation engines are widely used in online marketing and e-commerce; however, online retailers often deploy these tools without understanding which human factors play a role in which products and at which stage of the customer journey. Understanding the interaction between AI-powered tools and humans can help practitioners create more effective online marketing platforms and improve human interaction with e-commerce tools. This paper examines customers' reliance on recommendation engines when purchasing fashion goods, electronics, and media content such as video and music. This paper also discusses the potential for improvement in recommendation engines in online marketing and e-commerce.\",\"PeriodicalId\":44533,\"journal\":{\"name\":\"International Journal of Technology and Human Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Technology and Human Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijthi.345928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Technology and Human Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijthi.345928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Evaluating the Effectiveness of Recommendation Engines on Customer Experience Across Product Categories
Artificial intelligence (AI)-powered tools such as recommendation engines are widely used in online marketing and e-commerce; however, online retailers often deploy these tools without understanding which human factors play a role in which products and at which stage of the customer journey. Understanding the interaction between AI-powered tools and humans can help practitioners create more effective online marketing platforms and improve human interaction with e-commerce tools. This paper examines customers' reliance on recommendation engines when purchasing fashion goods, electronics, and media content such as video and music. This paper also discusses the potential for improvement in recommendation engines in online marketing and e-commerce.
期刊介绍：
Topics to be discussed in this journal include (but are not limited to) the following: •Anthropological consequences of technology use •Ethical aspects of particular technologies (e.g. e-teaching, ERP, etc.) •Experiential learning though the use of technology in organizations •HCI design for trust development •Influence of gender on the adoption and use of technology •Interaction and conversion between technologies and their impact on society •Intersection of humanities and sciences and its impact on technology use •Normative questions of the development and use of technology
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