TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Jiayi, Wu, Zhengyu, Li, Xunkai, Li, Rong-Hua, Wang, Guoren |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)
by: Wu, Jiayi, et al.
Published: (2026)
A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)
by: Wu, Jiayi, et al.
Published: (2026)
Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)
by: Wu, Jiayi, et al.
Published: (2026)
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
by: Shenbin, Ilya, et al.
Published: (2024)
by: Shenbin, Ilya, et al.
Published: (2024)
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
by: Huang, Ling, et al.
Published: (2022)
by: Huang, Ling, et al.
Published: (2022)
Frequency-aware Graph Signal Processing for Collaborative Filtering
by: Xia, Jiafeng, et al.
Published: (2024)
by: Xia, Jiafeng, et al.
Published: (2024)
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
by: Sun, Henan, et al.
Published: (2023)
by: Sun, Henan, et al.
Published: (2023)
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
by: Li, Xunkai, et al.
Published: (2025)
by: Li, Xunkai, et al.
Published: (2025)
Safe Collaborative Filtering
by: Togashi, Riku, et al.
Published: (2023)
by: Togashi, Riku, et al.
Published: (2023)
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
by: Loveland, Donald, et al.
Published: (2024)
by: Loveland, Donald, et al.
Published: (2024)
Federated Prototype Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)
by: Wu, Zhengyu, et al.
Published: (2025)
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Towards Effective and General Graph Unlearning via Mutual Evolution
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
FedGTA: Topology-aware Averaging for Federated Graph Learning
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Graph Signal Diffusion Model for Collaborative Filtering
by: Zhu, Yunqin, et al.
Published: (2023)
by: Zhu, Yunqin, et al.
Published: (2023)
Fair Augmentation for Graph Collaborative Filtering
by: Boratto, Ludovico, et al.
Published: (2024)
by: Boratto, Ludovico, et al.
Published: (2024)
Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)
by: Zhao, Junpeng, et al.
Published: (2025)
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering
by: Jin, Xinzhou, et al.
Published: (2024)
by: Jin, Xinzhou, et al.
Published: (2024)
How Does Message Passing Improve Collaborative Filtering?
by: Ju, Mingxuan, et al.
Published: (2024)
by: Ju, Mingxuan, et al.
Published: (2024)
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
by: Maurera, Fernando Benjamín Pérez, et al.
Published: (2022)
by: Maurera, Fernando Benjamín Pérez, et al.
Published: (2022)
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Rethinking Node-wise Propagation for Large-scale Graph Learning
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
by: Ebrat, Danial, et al.
Published: (2025)
by: Ebrat, Danial, et al.
Published: (2025)
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
by: Loveland, Donald, et al.
Published: (2025)
by: Loveland, Donald, et al.
Published: (2025)
Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
by: Pires, Pedro R., et al.
Published: (2026)
by: Pires, Pedro R., et al.
Published: (2026)
Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing
by: Xu, Aobo, et al.
Published: (2024)
by: Xu, Aobo, et al.
Published: (2024)
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
by: Li, Xunkai, et al.
Published: (2025)
by: Li, Xunkai, et al.
Published: (2025)
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
by: Li, Xunkai, et al.
Published: (2025)
by: Li, Xunkai, et al.
Published: (2025)
Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering
by: Xuan, Yueqing, et al.
Published: (2025)
by: Xuan, Yueqing, et al.
Published: (2025)
Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering
by: Islam, Md Aminul, et al.
Published: (2026)
by: Islam, Md Aminul, et al.
Published: (2026)
Geometric Collaborative Filtering with Convergence
by: Husain, Hisham, et al.
Published: (2024)
by: Husain, Hisham, et al.
Published: (2024)
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
by: Zhang, Haiyang, et al.
Published: (2024)
by: Zhang, Haiyang, et al.
Published: (2024)
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
by: Pan, Lei, et al.
Published: (2023)
by: Pan, Lei, et al.
Published: (2023)
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
by: Park, Jin-Duk, et al.
Published: (2024)
by: Park, Jin-Duk, et al.
Published: (2024)
SVD-AE: Simple Autoencoders for Collaborative Filtering
by: Hong, Seoyoung, et al.
Published: (2024)
by: Hong, Seoyoung, et al.
Published: (2024)
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
by: Sun, Peijie, et al.
Published: (2024)
by: Sun, Peijie, et al.
Published: (2024)
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
by: Bendada, Walid, et al.
Published: (2025)
by: Bendada, Walid, et al.
Published: (2025)
Self-supervised Contrastive Learning for Implicit Collaborative Filtering
by: Song, Shipeng, et al.
Published: (2024)
by: Song, Shipeng, et al.
Published: (2024)
Similar Items
-
A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026) -
A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026) -
Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026) -
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
by: Shenbin, Ilya, et al.
Published: (2024) -
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
by: Li, Haoxuan, et al.
Published: (2024)