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Role of Generative AI for Developing Personalized Content Based Websites

Authors: Khan, Sadik;

Role of Generative AI for Developing Personalized Content Based Websites

Abstract

The rapid growth of AI has transformed web creation and content production. AI has shown great potential in creating customized content-based websites, one of the most prominent areas. Customer engagement and business expansion rely heavily on personalization, which serves as a fundamental aspect of a well-tailored user experience. Through this research paper, we aim to investigate the generative AI contribution to creating tailored content-based websites, exploring the pros and cons of implementation while analyzing its implications on user satisfaction and commercial success. The methodology as they address data collection, preprocessing, model training, generation, and evaluation. The study findings reveal that generative AI can produce customized websites in accordance with users' choices and needs. Examining existing literature and case studies, this paper delves into the uses, drawbacks, and future possibilities of generative AI in personalized web development. The methodology as they address data collection, preprocessing, model training, generation, and evaluation. The study findings reveal that generative AI can produce customized websites in accordance with users' choices and needs.

Keywords

Generative AI, Personalization, Content based Websites, User Experience, AI websites, Web Development.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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