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

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.