Content based recommendation system & android application

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

Department dc:contributor.department

DE--Informatikai Kar

Author dc:creator

• Thakur, Devansh

Advisor dc:contributor.advisor

• Adamkó, Attila

• Recommender system
• Android
• Machine Learning

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/2437/331746

OAI identifier oai:identifier

oai:dea.lib.unideb.hu:2437/331746