Title: Machine Learning Behind Mobile Apps: How Our Phones Learn from Us

This mini research paper explores how machine learning is applied in mobile applications to improve user experience. It focuses on three major areas — Google Maps, YouTube recommendation system, and Face Recognition — explaining how mobile devices learn from user data to deliver smarter and more personalized services.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-21
DOI
https://doi.org/10.5281/zenodo.17403679
Primary Topic
Probability and Statistical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Title: Machine Learning Behind Mobile Apps: How Our Phones Learn from Us

Zenodo (CERN European Organization for Nuclear Research)
Probability and Statistical Research
article

Title: Machine Learning Behind Mobile Apps: How Our Phones Learn from Us

article en

Abstract

This mini research paper explores how machine learning is applied in mobile applications to improve user experience. It focuses on three major areas — Google Maps, YouTube recommendation system, and Face Recognition — explaining how mobile devices learn from user data to deliver smarter and more personalized services.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 37%
Probability and Statistical Research
DOIOpen Access PDFOpenAlex
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Title: Machine Learning Behind Mobile Apps: How Our Phones Learn from Us · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS