AI-POWERED CONTENT MANAGEMENT SYSTEMS: A FRAMEWORK FOR AUTOMATED WEB PAGE GENERATION AND DYNAMIC CONTENT DELIVERY

generation and content delivery.The article examines the architectural framework necessary for implementing AI-driven CMS solutions, focusing on adaptive layout generation, dynamic content creation, and personalized user experiences.Through an investigation of machine learning algorithms and natural language generation techniques, this article demonstrates how AI-enhanced CMS platforms can streamline web development processes while maintaining content quality and brand consistency.The article reveals significant improvements in content delivery efficiency, user engagement metrics, and maintenance workflows across various sectors, including ecommerce and digital publishing.This article contributes to the growing body of knowledge on intelligent web systems by providing a structured approach to AI integration in content management, while addressing key challenges and considerations for practical implementation.The article concludes by outlining future directions for AI-driven CMS development and its potential impact on the web development landscape.

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2025-02-04
DOI
https://doi.org/10.34218/ijrcait_08_01_101
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-POWERED CONTENT MANAGEMENT SYSTEMS: A FRAMEWORK FOR AUTOMATED WEB PAGE GENERATION AND DYNAMIC CONTENT DELIVERY

Durga Rao Manchikanti
1 links
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Web Data Mining and Analysis
article

AI-POWERED CONTENT MANAGEMENT SYSTEMS: A FRAMEWORK FOR AUTOMATED WEB PAGE GENERATION AND DYNAMIC CONTENT DELIVERY

Durga Rao Manchikanti
article en

Abstract

generation and content delivery.The article examines the architectural framework necessary for implementing AI-driven CMS solutions, focusing on adaptive layout generation, dynamic content creation, and personalized user experiences.Through an investigation of machine learning algorithms and natural language generation techniques, this article demonstrates how AI-enhanced CMS platforms can streamline web development processes while maintaining content quality and brand consistency.The article reveals significant improvements in content delivery efficiency, user engagement metrics, and maintenance workflows across various sectors, including ecommerce and digital publishing.This article contributes to the growing body of knowledge on intelligent web systems by providing a structured approach to AI integration in content management, while addressing key challenges and considerations for practical implementation.The article concludes by outlining future directions for AI-driven CMS development and its potential impact on the web development landscape.

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 8(1)
Openalex Percentile: Top 98%
Web Data Mining and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-POWERED CONTENT MANAGEMENT SYSTEMS: A FRAMEWORK FOR AUTOMATED WEB PAGE GENERATION AND DYNAMIC CONTENT DELIVERY — Durga Rao Manchikanti · INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (2025) | TGRS Research Map | TGRS