Improving Non Personalized Recommendations using a Non-Linear Weighted Mean

International Journal of Research and Engineering

View Publication Info
 
 
Field Value
 
Title Improving Non Personalized Recommendations using a Non-Linear Weighted Mean
 
Creator Goyal, Shitij
 
Description Recommender Systems have become an important part of our day to day life. The goal of any recommendation system is to present users with a relevant set of items which would interest them. This paper showcases a new technique and implements a non-personalized recommender system using the proposed technique. It is shown how the modification can be used to improve the recommendation as compared to existing algorithms. The comparison is done with the widespread method of average ratings and conclusions are drawn based on these tests.
 
Publisher IJRE Publisher
 
Date 2017-10-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://digital.ijre.org/index.php/int_j_res_eng/article/view/297
 
Source International Journal of Research and Engineering; Vol 4 No 9 (2017): September 2017 Edition; 241-243
2348-7860
2348-7852
 
Language eng
 
Relation https://digital.ijre.org/index.php/int_j_res_eng/article/view/297/279
 
Rights Copyright (c) 2017 Shitij Goyal
http://creativecommons.org/licenses/by/4.0
 

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