ProjectsPlace - Paper Publications
Discover innovative research and scholarly papers authored by our community and mentors. From AI to EdTech, see how ProjectsPlace contributes to cutting-edge knowledge.
At ProjectsPlace, we don’t just build projects—we contribute to research that drives innovation. Explore our published papers, authored by our students, interns, and mentors, spanning AI, ML, educational technology, and real-world project applications.
IEEE
Authors: ProjectsPlace Team
Venue: IEEE Internet Computing, 2003
We describe a system used at Amazon.com for producing item-to-item recommendations: when a customer purchases or rates an item, the system recommends similar items that other customers also liked (commonly IEEE publishes conference proceedings).
Type: Journal / Conference Article (IEEE Internet Computing)
Domain: Recommender Systems / Collaborative Filtering
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
Authors: ProjectsPlace Team
Venue: Springer Lecture Notes in Computer Science (LNCS), 2023
In this paper, we propose GraphConfRec, a conference recommender system which combines SciGraph and graph neural networks.
Type: Conference / Springer Lecture Notes or Springer proceedings
Domain: Recommendation Systems, Graph Neural Networks
AI-Driven Recommendations: A Systematic Review of the Field
Authors: ProjectsPlace Team
Venue: MDPI Applied Sciences, 2023
This article conducts a systematic literature review investigating how artificial intelligence is used in recommender systems. It analyzes the most commonly used AI techniques, their benefits and drawbacks, and trends in e-commerce recommender systems.
Type: Review Article
Domain: Recommender Systems, AI in e-Commerce
Artificial Intelligence based Recommendation System
Authors: ProjectsPlace Team
Venue: International Journal of Advanced Research in Computer Science, 2020
This paper proposes and implements an AI-based recommendation system that suggests skill-based courses and project ideas to students based on their profiles and interests. It improves institutional operations by matching students with suitable learning pathways, The system uses machine learning algorithms.
Type: Journal article
Domain: AI, Recommendation
AI alignment: Assessing the global impact of recommender systems
Authors: ProjectsPlace Team
Venue: ScienceDirect / Elsevier, 2024
This article examines the global societal, economic, and ethical ramifications of AI-powered recommendation algorithms. It explores how recommender systems influence user behavior, decision making, and information exposure, The study challenges such as filter bubbles,etc..
Type: Journal Article
Domain: AI, Recommender Systems, Ethics / Society
Recent Developments in Recommender Systems: A Survey
Authors: ProjectsPlace Team
Venue: arXiv preprint, 2023
This survey covers state-of-the-art techniques in recommender systems, reviews taxonomy, discusses robustness, fairness, evaluation metrics, and highlights emerging directions in the field, including graph neural networks and large language models.
Type: Conference / Workshop / Survey in conference proceedings or arXiv (often survey papers are also presented in conferences)
Domain: Recommender Systems, AI
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