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Software, Volume 3, Issue 1

2024 March - 6 articles

Cover Story: This paper introduces a novel method for enhancing product recommender systems, blending unsupervised models like K-means clustering, content-based filtering (CBF), and hierarchical clustering with the state-of-the-art GPT-4 large language model (LLM). The groundbreaking aspect lies in leveraging GPT-4 for model evaluation, utilizing its advanced, natural language understanding to elevate recommendation precision. This approach empowers e-commerce with advanced unsupervised algorithms, while GPT-4 refines semantic understanding and yields more personalized recommendations. Experimental results validate the framework’s superiority, advancing recommender system technology and providing businesses with a scalable solution to optimize product recommendations. View this paper
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Articles (6)

  • Article
  • Open Access
2,658 Views
39 Pages

13 March 2024

Architecture principles affect a software system holistically. Given their alignment with a business strategy, they should be incorporated within the validation process covering aspects of sustainability. However, current research discusses the influ...

  • Review
  • Open Access
1 Citations
2,343 Views
26 Pages

5 March 2024

Science is currently becoming aware of the challenges in the understanding of the very root mechanisms of massively parallel computations that are observed in literally all scientific disciplines, ranging from cosmology to physics, chemistry, biochem...

  • Article
  • Open Access
8 Citations
5,983 Views
19 Pages

29 February 2024

This paper presents a pioneering methodology for refining product recommender systems, introducing a synergistic integration of unsupervised models—K-means clustering, content-based filtering (CBF), and hierarchical clustering—with the cu...

  • Article
  • Open Access
5 Citations
4,062 Views
15 Pages

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models

  • Nawa Raj Pokhrel,
  • Keshab Raj Dahal,
  • Ramchandra Rimal,
  • Hum Nath Bhandari and
  • Binod Rimal

28 February 2024

Deep-SDM is a unified layer framework built on TensorFlow/Keras and written in Python 3.12. The framework aligns with the modular engineering principles for the design and development strategy. Transparency, reproducibility, and recombinability are t...

  • Article
  • Open Access
5 Citations
6,235 Views
19 Pages

12 January 2024

Internet-based distributed systems dominate contemporary software applications. To enable these applications to operate securely, software developers must mitigate the threats posed by malicious actors. For instance, the developers must identify vuln...

  • Article
  • Open Access
6 Citations
5,283 Views
27 Pages

2 January 2024

Automated software testing is a crucial yet resource-intensive aspect of software development. This burden on resources affects widespread adoption, with expertise and cost being the primary challenges preventing adoption. This paper focuses on autom...

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Software - ISSN 2674-113X