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Efficient Parallel Algorithms for LargeScale Matrix Factorization in Collaborative Filtering Systems Novi Siti Juariah; Rizky Pratama .H; Melda Ayu Nengsi
International Journal of Applied Mathematics and Computing Vol. 1 No. 1 (2024): January: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i1.2

Abstract

Collaborative filtering systems rely heavily on matrix factorization techniques, which often face scalability issues when handling large datasets. This paper presents an efficient parallel algorithm that leverages distributed computing to perform largescale matrix factorization. Experimental results show that our algorithm significantly reduces computation time while maintaining high accuracy. The approach has practical implications for recommendation systems, particularly in ecommerce and social media platforms.
Alternative Dispute Resolution in Civil Cases : Trends, Benefits, and Legal Implications Melda Ayu Nengsi; Thalia Widia Ramadanti
Green Social: International Journal of Law and Civil Affairs Vol. 1 No. 2 (2024): International Journal of Law and Civil Affairs
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greensocial.v1i2.53

Abstract

This paper investigates the rising trend of alternative dispute resolution (ADR) methods in civil cases, analyzing their benefits and legal implications. With increasing caseloads in courts, ADR provides a viable alternative for efficient dispute resolution. The study evaluates various ADR methods, including mediation and arbitration, and examines their impact on the legal system, accessibility to justice, and cost-effectiveness. Findings suggest that ADR can significantly reduce litigation costs and improve outcomes for all parties involved, while also raising questions about enforceability and procedural fairness.