Smart City Exploration: A Reviews-Based Place Recommendation System

Abstract: The expansion of cities has created a demand for advancedsystemsthatcanaidresidentsandtouristsinnavigating urban areas. This paper introduces a recommendation system that aims to improve the city exploration experience by utilizinga reviewbased approach. By analyzing user-generated reviews, sentiment analysis, and location/place data, the system suggests points of interest, enhancing decision-making for users [3] [4]. Thesystemusesmachinelearningmethods,suchascollaborative filteringandnaturallanguageprocessing,toanalyzeinformation. By considering both location-specific details and the sentiment conveyed in reviews, the approach guarantees that recommenda- tionsaresuitedtothespecificneedsandpreferencesoftheuser.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-22
DOI
https://doi.org/10.22214/ijraset.2025.70873
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart City Exploration: A Reviews-Based Place Recommendation System

Ayush Meshram
International Journal for Research in Applied Science and Engineering Technology
Human Mobility and Location-Based Analysis
article

Smart City Exploration: A Reviews-Based Place Recommendation System

Ayush Meshram
article en

Abstract

Abstract: The expansion of cities has created a demand for advancedsystemsthatcanaidresidentsandtouristsinnavigating urban areas. This paper introduces a recommendation system that aims to improve the city exploration experience by utilizinga reviewbased approach. By analyzing user-generated reviews, sentiment analysis, and location/place data, the system suggests points of interest, enhancing decision-making for users [3] [4]. Thesystemusesmachinelearningmethods,suchascollaborative filteringandnaturallanguageprocessing,toanalyzeinformation. By considering both location-specific details and the sentiment conveyed in reviews, the approach guarantees that recommenda- tionsaresuitedtothespecificneedsandpreferencesoftheuser.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 88%
Human Mobility and Location-Based Analysis
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