Explore Hub: Developing An Application For Tourist-Management.

Traveling and fun every day become increasingly dedicated to learning new and new locations on the internet. Why? Discovering Favorite Places is an app which enables someone to look up his or her favorite places employing the Explore Hub facility. Location-based services play the role and shall be addressed in this study paper in influencing the users between restaurants, coffee houses, public parks, sites of entertainment, and other favored venues. Through the examination of location-based recommendation systems that have evolved from word-of-mouth jargon to electronic systems with artificial intelligence, this paper examines how these technologies have reshaped personal discovery. Beyond this, this research examines the impact of various recommendation methods, such as user feedback, artificial intelligence-based recommendations, and social network integration, in influencing overall user interaction and engagement. In short, this research is intended to bring to light how Explore Hub helps people to discover, organize and suggest their most loved places and improve access and diversity.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-31
DOI
https://doi.org/10.22214/ijraset.2025.67993
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Explore Hub: Developing An Application For Tourist-Management.

Neha Bhalerao
International Journal for Research in Applied Science and Engineering Technology
Semantic Web and Ontologies
article

Explore Hub: Developing An Application For Tourist-Management.

Neha Bhalerao
article en

Abstract

Traveling and fun every day become increasingly dedicated to learning new and new locations on the internet. Why? Discovering Favorite Places is an app which enables someone to look up his or her favorite places employing the Explore Hub facility. Location-based services play the role and shall be addressed in this study paper in influencing the users between restaurants, coffee houses, public parks, sites of entertainment, and other favored venues. Through the examination of location-based recommendation systems that have evolved from word-of-mouth jargon to electronic systems with artificial intelligence, this paper examines how these technologies have reshaped personal discovery. Beyond this, this research examines the impact of various recommendation methods, such as user feedback, artificial intelligence-based recommendations, and social network integration, in influencing overall user interaction and engagement. In short, this research is intended to bring to light how Explore Hub helps people to discover, organize and suggest their most loved places and improve access and diversity.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 97%
Semantic Web and Ontologies
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