Cover Image

Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barman, Pronob Kumar, Reynolds, Tera L., Foulds, James
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Online Support Group Formation Using Topic Modeling Techniques
by: Barman, Pronob Kumar, et al.
Published: (2026)

Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
by: Yang, Yuhao, et al.
Published: (2025)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)

Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
by: Liu, Junhua, et al.
Published: (2024)

Representation Learning with Large Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2023)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
by: Wang, Siyu, et al.
Published: (2024)

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
by: Dai, Ji, et al.
Published: (2026)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
by: Liang, Shunpan, et al.
Published: (2024)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
by: Li, Qingyao, et al.
Published: (2024)

Dual Conditional Diffusion Models for Sequential Recommendation
by: Huang, Hongtao, et al.
Published: (2024)

DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
by: Zou, Xinchi, et al.
Published: (2026)

Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
by: Liang, Jiazhou, et al.
Published: (2026)

Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation
by: Huang, Haofeng, et al.
Published: (2025)

A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining
by: Liu, Wenyi, et al.
Published: (2024)

Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation
by: Li, Yang, et al.
Published: (2023)

Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
by: Wang, Hui, et al.
Published: (2025)

Conditional Memory Enhanced Item Representation for Generative Recommendation
by: Liu, Ziwei, et al.
Published: (2026)

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
by: Xu, Haozhe, et al.
Published: (2025)

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation
by: Liang, Fengqi, et al.
Published: (2024)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
by: Huang, Chengkai, et al.
Published: (2024)

DReX: An Explainable Deep Learning-based Multimodal Recommendation Framework
by: Shyam, Adamya, et al.
Published: (2026)

When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
by: Chen, Weipu, et al.
Published: (2024)

Language Representations Can be What Recommenders Need: Findings and Potentials
by: Sheng, Leheng, et al.
Published: (2024)

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
by: Zheng, Carolina, et al.
Published: (2025)

Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models
by: Guo, Hanze, et al.
Published: (2026)

Token-Efficient Item Representation via Images for LLM Recommender Systems
by: Kim, Kibum, et al.
Published: (2025)

EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)

M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
by: Chen, Lining, et al.
Published: (2025)

Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)

Towards a Theoretical Understanding of Two-Stage Recommender Systems
by: Jaiswal, Amit Kumar
Published: (2024)

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation
by: Guo, Hao, et al.
Published: (2025)

L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
by: Pan, Pingjun, et al.
Published: (2026)

When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation
by: Lin, Hongxiang, et al.
Published: (2025)

Understanding User Perceptions of Human-centered AI-Enhanced Support Group Formation in Online Healthcare Communities
by: Barman, Pronob Kumar, et al.
Published: (2026)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
by: Zhang, Jingmao, et al.
Published: (2025)

Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
by: He, Peng, et al.
Published: (2025)

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
by: Amiri, Mahmoud, et al.
Published: (2025)