Development of a personalized travel planner using large language models and generative AI techniques: A Comprehensive Analysis of Implementation, Optimization, and Evaluation.

This document presents the development and implementation of an advanced personalized travel planning system that integrates multiple Generative Artificial Intelligence techniques, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), advanced prompting techniques, and automated quality control systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17136151
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a personalized travel planner using large language models and generative AI techniques: A Comprehensive Analysis of Implementation, Optimization, and Evaluation.

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Development of a personalized travel planner using large language models and generative AI techniques: A Comprehensive Analysis of Implementation, Optimization, and Evaluation.

article en

Abstract

This document presents the development and implementation of an advanced personalized travel planning system that integrates multiple Generative Artificial Intelligence techniques, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), advanced prompting techniques, and automated quality control systems.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
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Development of a personalized travel planner using large language models and generative AI techniques: A Comprehensive Analysis of Implementation, Optimization, and Evaluation. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS