Smart House Recommendation System: Personalized Property Search Using Advanced Filtering

The House Recommendation System is an innovative technology meant to simplify the home-buying process by offering individualized property recommendations. In today's real estate market, buyers often face the overwhelming task of sorting through countless listings to find homes that meet their preferences. This system addresses that challenge by tailoring suggestions based on factors such as the number of bedrooms, bathrooms, area, and price, creating a more focused and efficient home search experience. Using advanced techniques like content-based filtering and dynamic weight adjustment, the system analyzes property attributes and adjusts the significance of features based on their variability in the dataset. This ensures that the most relevant factors are prioritized, leading to highly accurate and meaningful recommendations. By leveraging a comprehensive dataset of house listings, the system saves users time and effort, empowering them to make confident and well-informed decisions in a seamless and intuitive manner.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019121
Citations
7
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
22.72
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article

Smart House Recommendation System: Personalized Property Search Using Advanced Filtering

Karthick Rajendran, Senthil Pandi S, K - MADHUMITHA
7 citations
Recommender Systems and Techniques
22.72
article

Smart House Recommendation System: Personalized Property Search Using Advanced Filtering

Karthick Rajendran, Senthil Pandi S, K - MADHUMITHA
article en
7 citations

Abstract

The House Recommendation System is an innovative technology meant to simplify the home-buying process by offering individualized property recommendations. In today's real estate market, buyers often face the overwhelming task of sorting through countless listings to find homes that meet their preferences. This system addresses that challenge by tailoring suggestions based on factors such as the number of bedrooms, bathrooms, area, and price, creating a more focused and efficient home search experience. Using advanced techniques like content-based filtering and dynamic weight adjustment, the system analyzes property attributes and adjusts the significance of features based on their variability in the dataset. This ensures that the most relevant factors are prioritized, leading to highly accurate and meaningful recommendations. By leveraging a comprehensive dataset of house listings, the system saves users time and effort, empowering them to make confident and well-informed decisions in a seamless and intuitive manner.

Structural Engineering Research Centre (IN), Madurai Medical College (IN), Rajalakshmi Engineering College
Openalex Percentile: Top 1%
Recommender Systems and Techniques
22.72
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Smart House Recommendation System: Personalized Property Search Using Advanced Filtering — Karthick Rajendran, Senthil Pandi S, et al. · (2025) | TGRS Research Map | TGRS