:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ding, Xiangyun, Yu, Wenjian, Xie, Yuyang, Liu, Shenghua
Formato:	Preprint
Publicado:	2020
Materias:	Machine Learning Information Retrieval Numerical Analysis
Acceso en línea:	https://arxiv.org/abs/2009.02251
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
por: Li, Guoming, et al.
Publicado: (2026)

Low-Rank Approximation, Adaptation, and Other Tales
por: Lu, Jun
Publicado: (2024)

Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization
por: Abdolali, Maryam, et al.
Publicado: (2024)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
por: Lazebnik, Teddy, et al.
Publicado: (2022)

Learning to Fast Unrank in Collaborative Filtering Recommendation
por: Zhao, Junpeng, et al.
Publicado: (2025)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
por: Huang, Ling, et al.
Publicado: (2022)

Safe Collaborative Filtering
por: Togashi, Riku, et al.
Publicado: (2023)

Debiased Collaborative Filtering with Kernel-Based Causal Balancing
por: Li, Haoxuan, et al.
Publicado: (2024)

Graph Signal Diffusion Model for Collaborative Filtering
por: Zhu, Yunqin, et al.
Publicado: (2023)

L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering
por: Jin, Xinzhou, et al.
Publicado: (2024)

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing
por: Xu, Aobo, et al.
Publicado: (2024)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
por: Ebrat, Danial, et al.
Publicado: (2025)

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
por: Lazebnik, Teddy
Publicado: (2024)

Fair Augmentation for Graph Collaborative Filtering
por: Boratto, Ludovico, et al.
Publicado: (2024)

How Does Message Passing Improve Collaborative Filtering?
por: Ju, Mingxuan, et al.
Publicado: (2024)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
por: Hou, Yu, et al.
Publicado: (2024)

SketchNE: Embedding Billion-Scale Networks Accurately in One Hour
por: Xie, Yuyang, et al.
Publicado: (2021)

Fast Mutual Information Computation for Large Binary Datasets
por: Falcao, Andre O.
Publicado: (2024)

Frequency-aware Graph Signal Processing for Collaborative Filtering
por: Xia, Jiafeng, et al.
Publicado: (2024)

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
por: Maurera, Fernando Benjamín Pérez, et al.
Publicado: (2022)

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
por: Shenbin, Ilya, et al.
Publicado: (2024)

On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
por: Loveland, Donald, et al.
Publicado: (2025)

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
por: Pires, Pedro R., et al.
Publicado: (2026)

Geometric Collaborative Filtering with Convergence
por: Husain, Hisham, et al.
Publicado: (2024)

Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
por: Loveland, Donald, et al.
Publicado: (2024)

Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering
por: Islam, Md Aminul, et al.
Publicado: (2026)

PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
por: Khaledian, Arman, et al.
Publicado: (2025)

UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
por: Pan, Lei, et al.
Publicado: (2023)

SVD-AE: Simple Autoencoders for Collaborative Filtering
por: Hong, Seoyoung, et al.
Publicado: (2024)

Continuous Approach to Phase (Norm) Retrieval Frames
por: Farshchian, Ramin, et al.
Publicado: (2025)

Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
por: Liu, Yueyang, et al.
Publicado: (2024)

TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering
por: Wu, Jiayi, et al.
Publicado: (2026)

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
por: Park, Jin-Duk, et al.
Publicado: (2024)

Sharp Analysis of Power Iteration for Tensor PCA
por: Wu, Yuchen, et al.
Publicado: (2024)

Parameter-Efficient Single Collaborative Branch for Recommendation
por: Moscati, Marta, et al.
Publicado: (2025)

Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis
por: Gharahighehi, Alireza, et al.
Publicado: (2025)

Finite Samples for Shallow Neural Networks
por: Xia, Yu, et al.
Publicado: (2025)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
por: Li, Zhiwei, et al.
Publicado: (2024)

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
por: Elahi, Ali, et al.
Publicado: (2024)

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
por: Rezaei, Mohammad Reza, et al.
Publicado: (2024)