z-logo
open-access-imgOpen Access
A Gadget Recommendation System using Data Science
Author(s) -
A. Pushpalatha,
Harish Sanmugam J,
Jeya Pradeepa,
Madhu Bala S
Publication year - 2020
Publication title -
journal of information technology and digital world
Language(s) - English
Resource type - Journals
ISSN - 2582-418X
DOI - 10.36548/jitdw.2020.4.004
Subject(s) - gadget , computer science , preference , multimedia , world wide web , human–computer interaction , economics , algorithm , microeconomics
Electronic gadgets have become vital in basic need of individual. The advances in technology, makes it necessary to satisfy different functional needs of users. Therefore, it is important to suggest gadgets for users according to personal preference and various constraints of electronic gadgets. We propose a gadget recommendation system by integrating various requirements from users. KeywordsGadget recommendation, classification, model rendering, k-means algorithm, content-based filtering.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom