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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI-BASED CONTENT PERSONALIZATION FOR EFFICIENT MAIL MERGE IN MOBILE APPLICATIONS |
| Authors Name: | Nitin Agrawal , Yaduttam Pareek , Raman Tank |
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IJNRD_217331
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| Published Paper Id: | IJNRD2404159 |
| Published In: | Volume 9 Issue 4, April-2024 |
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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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| Cite Article: | "AI-BASED CONTENT PERSONALIZATION FOR EFFICIENT MAIL MERGE IN MOBILE APPLICATIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b458-b461, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404159.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404159 Registration ID: 217331 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: b458-b461 Country: Jaipur, Rajasthan, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404159 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404159 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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