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Analysis of Book User Ratings and Publication Trends in the Publication Industry using ML Models

  • Manav Rachna International University
  • Graphic Era Hill University
  • Graphic Era
  • Imam Abdulrahman Bin Faisal University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The central idea on the current work involves the computation of book user ratings and publication trends within the publication industry based on a large data set, which includes the user profile details and comprehensive metadata associated with books. The research focuses on examining the association between demographic characteristics and rating activities and age as a variable with a relatively small effect on these trends. The rationale also includes the need to examine the effects that genres, historical ratings, and social factors have on users. Furthermore, analysis of publication trends shows that these are deeply influenced technically and culturally and brought to the light important changes in the publication industry.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024
EditorsNaina Chaudhary
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1240-1244
Number of pages5
ISBN (Electronic)9798350387490
DOIs
StatePublished - 2024
Event4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024 - Tashkent, Uzbekistan
Duration: 13 Nov 202415 Nov 2024

Publication series

NameProceedings - 4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024

Conference

Conference4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024
Country/TerritoryUzbekistan
CityTashkent
Period13/11/2415/11/24

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