Comparison of borda and NRF (normalized rating frequency) in recommender system

Taufiq, Abidin and Slamet, Wiyono (2022) Comparison of borda and NRF (normalized rating frequency) in recommender system. Journal of Machine Learning and Artificial Intelligence, 1 (3): 4. pp. 215-218. ISSN 2828-9102

[thumbnail of Jurnal_Taufiq Abidin_Politeknik Harapan Bersama Tegal_2022.pdf]
Preview
Text
Jurnal_Taufiq Abidin_Politeknik Harapan Bersama Tegal_2022.pdf - Published Version
Available under License Creative Commons Attribution Share Alike.

Download (225kB) | Preview

Abstract

The Collaborative Filtering method is a popular method in making recommender systems.Although CF is a popular method, it has major problems, namely cold start and sparsity . Several studies have been conducted to treat cold starts and sparsity. One way to overcome cold start and sparsity is the Borda calculation method. Research using the Borda method has been carried out a lot but has not utilized the rating optimally. The NRF method is a new method offered to maximize the use of ratings. By using dummy test data, the NRF method is more effective than Borda in calculating recommendation scores.

Item Type: Article
Uncontrolled Keywords: Borda, NRF, Recommender system, Comparison
Subjects: Computers, Control & Information Theory
Computers, Control & Information Theory > Control Systems & Control Theory
Computers, Control & Information Theory > Applications Software
Depositing User: Djaenudin djae Mohamad
Date Deposited: 29 May 2023 07:14
Last Modified: 29 May 2023 07:14
URI: https://karya.brin.go.id/id/eprint/17345

Actions (login required)

View Item
View Item