Paper Title
AI-BASED CONTENT PERSONALIZATION FOR EFFICIENT MAIL MERGE IN MOBILE APPLICATIONS
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Abstract
In the labyrinthine digital cosmos, the sine qua none of efficacious communication is the bespoke tailoring of discourse, a paradigm wherein messages are not merely transmitted but meticulously sculpted to echo the nuanced predilections and idiosyncrasies of each recipient. This scholarly treatise probes the symbiosis of Artificial Intelligence (AI) with the venerable mail merge mechanism within the ambit of mobile applications, illumining the transformative potential of AI to transmogrify the traditional mail merge edifice. An erudite examination of sophisticated machine learning algorithms and natural language processing techniques reveals the prowess of AI in automating and refining the content personalization process, thereby markedly amplifying the efficiency and impact of mail merge endeavours. The manuscript delineates a holistic analysis of the vicissitudes and vistas engendered by the incursion of AI-driven content personalization strategies, buttressed by empirical evidence from the formulation and assiduous evaluation of a prototype mobile application. By bridging the gulf between antiquated mail merge methodologies and the dynamic capabilities of AI, this inquiry heralds a novel epoch in personalized communication, auguring a future where digital interactions are imbued with unparalleled engagement and profundity.
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How To Cite (APA)
Nitin Agrawal, Yaduttam Pareek, & Raman Tank (April-2024). AI-BASED CONTENT PERSONALIZATION FOR EFFICIENT MAIL MERGE IN MOBILE APPLICATIONS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b458-b461. https://ijnrd.org/papers/IJNRD2404159.pdf
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Volume 9 Issue 4, April-2024
Pages : b458-b461
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Paper Reg. ID: IJNRD_217331
Published Paper Id: IJNRD2404159
Downloads: 000122254
Research Area: Science & Technology
Author Type: Indian Author
Country: Jaipur, Rajasthan, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404159.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404159
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