Content based recommendation system & android application
Content based recommendation system & android application
Dátum
Szerzők
Thakur, Devansh
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Absztrakt
Rising of the recommendation systems has come into
markets which gives the suggestions to users. A recommendation system is a type of
information filtering system that attempts to forecast a user need or we can say preference
for an item. Although every application serves a unique function, not every application
can be tailored to a specific context of usage., I will try to investigate and build a recommendation system for the movies
also i have another objective is to build a full-fledged android based mobile application
through which users can try our recommendation system most probably i will use a
Content-Based recommender system which one of the most popular types of
recommendation system. Content-based filtering aims to calculate a user's characteristics
or behavior based on the features of an item to which the user responds positively and
need to have huge dataset. A content-based recommender system generates
recommendations based on the metadata of objects or people. based on the user search or
if we have a history of previously watched movies. My objective is to make a working
application with the recommender system integrated together. if I will not be able to succeed in
running ML model in android phone itself then I will make a Backend for the
recommender system
Leírás
Kulcsszavak
Recommender system, Android, Machine Learning