Cover Image

ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hasan, Mahamudul
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
by: Hasan, Mahamudul
Published: (2024)

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
by: Kaur, Kirandeep, et al.
Published: (2024)

Improving Collaborative Filtering Recommendation via Graph Learning
by: Wang, Yongyu
Published: (2023)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
by: Matrosova, Kristina, et al.
Published: (2024)

From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models
by: Chu, Jung-Mei, et al.
Published: (2024)

Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
by: Sun, Ruixuan, et al.
Published: (2024)

User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study
by: Albert, Julien, et al.
Published: (2024)

Catalyzing Social Interactions in Mixed Reality using ML Recommendation Systems
by: Srivastava, Sparsh, et al.
Published: (2024)

Filtering Discomforting Recommendations with Large Language Models
by: Liu, Jiahao, et al.
Published: (2024)

Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
by: Bakhshi, Saeideh, et al.
Published: (2025)

Language-Based User Profiles for Recommendation
by: Zhou, Joyce, et al.
Published: (2024)

The Collaboration Gap in Human-AI Work
by: Vishwarupe, Varad, et al.
Published: (2026)

TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
by: Li, Zhonghao, et al.
Published: (2025)

Learning to Rank for Maps at Airbnb
by: Haldar, Malay, et al.
Published: (2024)

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
by: Chen, Xiaoqing, et al.
Published: (2025)

Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent
by: Jin, Xiaofu, et al.
Published: (2026)

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
by: Cen, Sarah H., et al.
Published: (2024)

BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart
by: Bae, Joonhyung
Published: (2025)

Development of a WAZOBIA-Named Entity Recognition System
by: Emedem, S. E, et al.
Published: (2025)

Impact of Tone-Aware Explanations in Recommender Systems
by: Okoso, Ayano, et al.
Published: (2024)

Post-Userist Recommender Systems : A Manifesto
by: Burke, Robin, et al.
Published: (2024)

A Literature Review on Simulation in Conversational Recommender Systems
by: Zhang, Haoran, et al.
Published: (2025)

Early Explorations of Recommender Systems for Physical Activity and Well-being
by: Said, Alan
Published: (2025)

Learning Outcomes, Assessment, and Evaluation in Educational Recommender Systems: A Systematic Review
by: Askarbekuly, Nursultan, et al.
Published: (2024)

Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System
by: Hasan, Mahamudul, et al.
Published: (2024)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)

Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis
by: Hu, Zheqi, et al.
Published: (2025)

User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation
by: Balog, Krisztian, et al.
Published: (2025)

Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
by: Wang, Mengyan, et al.
Published: (2024)

Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
by: Son, Yeonbin, et al.
Published: (2025)

Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey
by: Li, Weiqing, et al.
Published: (2025)

Recommending With, Not For: Co-Designing Recommender Systems for Social Good
by: Ekstrand, Michael D., et al.
Published: (2025)

Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
by: Kostric, Ivica, et al.
Published: (2025)

Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
by: Lin, Kate, et al.
Published: (2024)

Labeled Interactive Topic Models
by: Seelman, Kyle, et al.
Published: (2023)

The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
by: Besbes, Omar, et al.
Published: (2024)

On Explaining Recommendations with Large Language Models: A Review
by: Said, Alan
Published: (2024)

INDIANA: Personalized Travel Recommendations Using Wearables and AI
by: Manos, Anastasios, et al.
Published: (2024)

Investigating Characteristics of Media Recommendation Solicitation in r/ifyoulikeblank
by: Bhuiyan, Md Momen, et al.
Published: (2024)