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020 _a9783031556159
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024 7 _a10.1007/978-3-031-55615-9
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245 1 0 _aRole of Explainable Artificial Intelligence in E-Commerce
_h[electronic resource] /
_cedited by Loveleen Gaur, Ajith Abraham.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVIII, 135 p. 19 illus., 15 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1094
505 0 _a1. Introduction to XAI in E-Commerce -- 2. Explainable Artificial Intelligence (XAI) for Managing Customer Needs in E-Commerce: a Systematic Review -- 3. Decoding the Recommender System: A Comprehensive Guide to Explainable AI in E-commerce -- 4. The AI Revolution in E-Commerce: Personalization and Predictive Analytics -- 5. Impact of Artificial Intelligence on Purchase Intention: A bibliometric analysis -- 6. Chatbot-XAI – The New Age Artificial Intelligence Communication tool for E-Commerce -- 7. Demystifying Applications of Explainable Artificial Intelligence (XAI) in e-Commerce -- 8. From Algorithms to Ethics: XAI's Impact on E-Commerce.
520 _aThe technological boom has provided consumers with endless choices, removing the hindrance of time and place. Understanding the dynamic and competitive business environment, marketers know they need to reinforce indestructible customer experience with the support of algorithmic configurations to minimize human intrusion. World Wide Web (WWW) and online marketing have changed the way of conducting business; with artificial intelligence (AI), business houses can furnish a customized experience to fulfil the perceived expectation of the customer. Artificial intelligence bridges the gap between business and prospective clients, provides enormous amounts of information, prompts grievance redressal system, and further complements the client’s preference. The opportunities online marketing offers with the blend of artificial intelligence tools like chatbots, recommenders, virtual assistance, and interactive voice recognition create improved brand awareness, better customer relationship marketing, and personalized product modification. Explainable AI provides the subsequent arena of human–machine collaboration, which will complement and support marketers and people so that they can make better, faster, and more accurate decisions. According to PwC’s report on Explainable AI(XAI), AI will have $15.7 trillion of opportunity by 2030. However, as AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. But the rise of AI in business for actionable insights also poses the following questions: How can marketers know and trust the reasoning behind why an AI system is making recommendations for action? What are the root causes and steering factors? Thus, transparency, trust, and a good understanding of expected business outcomes are increasingly demanded.
650 0 _aBusiness information services.
650 0 _aArtificial intelligence.
_958441
650 0 _aEngineering
_xData processing.
650 0 _aComputational intelligence.
_964052
650 1 4 _aIT in Business.
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aData Engineering.
_966059
650 2 4 _aComputational Intelligence.
_964052
700 1 _aGaur, Loveleen.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_974849
700 1 _aAbraham, Ajith.
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_974850
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031556142
776 0 8 _iPrinted edition:
_z9783031556166
776 0 8 _iPrinted edition:
_z9783031556173
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1094
_968854
856 4 0 _uhttps://doi.org/10.1007/978-3-031-55615-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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