Authors :
Shivam Goswami; Shivam Mishra; Shobhit Chaudhary; Ajeet Pratap Singh
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://rb.gy/bhwp6
DOI :
https://doi.org/10.5281/zenodo.7960552
Abstract :
In today’s world, people focus on reviews and
ratings available online. Recommendation system works
like a filtering technique that provide informationon the
basis of previous user experience. These technologies
used in various websites and apps to provide better
experience to user and also used to gain profit. This
study suggests fast and simple book recommendations
method which help user to select right books based on
their choice. Its thorough description is offered together
with the general architecture. In this system
collaborative filtering was employed. lastly, additional
details are depicted with test results based on the online
survey.
Keywords :
Book, Collaborative Filtering, Recommendation System, User Ratings.
In today’s world, people focus on reviews and
ratings available online. Recommendation system works
like a filtering technique that provide informationon the
basis of previous user experience. These technologies
used in various websites and apps to provide better
experience to user and also used to gain profit. This
study suggests fast and simple book recommendations
method which help user to select right books based on
their choice. Its thorough description is offered together
with the general architecture. In this system
collaborative filtering was employed. lastly, additional
details are depicted with test results based on the online
survey.
Keywords :
Book, Collaborative Filtering, Recommendation System, User Ratings.
