Authors :
Shubham Pawar; Pritesh Patne; Priya Ratanghayra; Simran Dadhich; Shree Jaswal
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3y8O1rs
DOI :
https://doi.org/10.5281/zenodo.6503164
Abstract :
A Recommendation System is a filtering
program whose primary goal is to predict the “rating” or
“preference” of a user towards a domain-specific item. In
our case, this domain-specific item is a movie. Hence the
main focus of our recommendation system is to provide a
total of ten movie recommendations to users who
searched for a movie that they like. These results are
based on similar traits/demographics of the movie that
has been searched. Content based filtering is a technique
that is used to recommend movies. Apart from providing
recommendations the system also provides information
about the searched movie. The additional details include
the movie rating, its release date, cast, and genres. The
system also provides additional information about the
cast. To help the user save time on reading reviews the
system also performs sentiment analysis on the movie’s
reviews, grading them into two categories which are
’Good’ and ’Bad’.
A Recommendation System is a filtering
program whose primary goal is to predict the “rating” or
“preference” of a user towards a domain-specific item. In
our case, this domain-specific item is a movie. Hence the
main focus of our recommendation system is to provide a
total of ten movie recommendations to users who
searched for a movie that they like. These results are
based on similar traits/demographics of the movie that
has been searched. Content based filtering is a technique
that is used to recommend movies. Apart from providing
recommendations the system also provides information
about the searched movie. The additional details include
the movie rating, its release date, cast, and genres. The
system also provides additional information about the
cast. To help the user save time on reading reviews the
system also performs sentiment analysis on the movie’s
reviews, grading them into two categories which are
’Good’ and ’Bad’.
