Machine Learning using Search Box

Mission learning using the search box is utilized for searching the needed information of the user using the keywords being common like carpenter, plumbing, institution, schools, shops, flower shop, fruit shop, etc. This will help users find necessary services through authentic data from service providers, making them efficient in avoiding fake and misleading information available on the internet. The present problem is retrieving data from authentic service providers or the actual ownersof such small-scale shops or companies. Our proposed system provides a solution by retrieving accurate data for end users in a table format, including complex attributes such as name, phone number, email, address, and location. This allows users to efficiently find the required information through our web page. Our experimental results show that users can access reliable data from authentic sources.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.16737372
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning using Search Box

Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

Machine Learning using Search Box

article en

Abstract

Mission learning using the search box is utilized for searching the needed information of the user using the keywords being common like carpenter, plumbing, institution, schools, shops, flower shop, fruit shop, etc. This will help users find necessary services through authentic data from service providers, making them efficient in avoiding fake and misleading information available on the internet. The present problem is retrieving data from authentic service providers or the actual ownersof such small-scale shops or companies. Our proposed system provides a solution by retrieving accurate data for end users in a table format, including complex attributes such as name, phone number, email, address, and location. This allows users to efficiently find the required information through our web page. Our experimental results show that users can access reliable data from authentic sources.

Zenodo (CERN European Organization for Nuclear Research)
Dr. M.G.R. Educational and Research Institute (IN)
Openalex Percentile: Top 44%
Spam and Phishing Detection
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Machine Learning using Search Box · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS