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Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

https://doi.org/10.1145/3611310
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-031-00126-0_11openalex-snapshot
Multi-view Multi-behavior Contrastive Learning in Recommendation
inferredcites →https://doi.org/10.1016/j.neucom.2018.01.057openalex-snapshot
Boolean kernels for collaborative filtering in top-N item recommendation
inferredcites →https://doi.org/10.1016/j.neunet.2024.106207openalex-snapshot
A Comprehensive Survey on Deep Graph Representation Learning
inferredcites →https://doi.org/10.1109/icde.2019.00140openalex-snapshot
Neural Multi-task Recommendation from Multi-behavior Data
inferredcites →https://doi.org/10.1109/icde51399.2021.00179openalex-snapshot
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1109/icdm.2018.00052openalex-snapshot
Collaborative Translational Metric Learning
inferredcites →https://doi.org/10.1109/icdm.2019.00071openalex-snapshot
DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation
inferredcites →https://doi.org/10.1109/icdm51629.2021.00090openalex-snapshot
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533645openalex-snapshot
ARGO: Modeling Heterogeneity in E-commerce Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2019.2931327openalex-snapshot
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
inferredcites →https://doi.org/10.1109/tmm.2017.2779043openalex-snapshot
Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm
inferredcites →https://doi.org/10.1109/tmm.2020.2978618openalex-snapshot
Learning and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations
inferredcites →https://doi.org/10.1109/tmm.2020.2981237openalex-snapshot
Viewpoint Recommendation Based on Object-Oriented 3D Scene Reconstruction
inferredcites →https://doi.org/10.1109/tmm.2020.2984094openalex-snapshot
IPTV Channel Zapping Recommendation With Attention Mechanism
inferredcites →https://doi.org/10.1109/tmm.2020.3007330openalex-snapshot
Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot
Relational learning via collective matrix factorization
inferredcites →https://doi.org/10.1145/2124295.2124317openalex-snapshot
Multi-relational matrix factorization using bayesian personalized ranking for social network data
inferredcites →https://doi.org/10.1145/2736277.2741656openalex-snapshot
Improving User Topic Interest Profiles by Behavior Factorization
inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot
Modeling User Exposure in Recommendation
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/2959100.2959163openalex-snapshot
Bayesian Personalized Ranking with Multi-Channel User Feedback
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3038912.3052639openalex-snapshot
Collaborative Metric Learning
inferredcites →https://doi.org/10.1145/3041021.3054202openalex-snapshot
Related Pins at Pinterest
inferredcites →https://doi.org/10.1145/3132847.3132911openalex-snapshot
Learning and Transferring Social and Item Visibilities for Personalized Recommendation
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186154openalex-snapshot
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
inferredcites →https://doi.org/10.1145/3331184.3331192openalex-snapshot
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3373807openalex-snapshot
Efficient Neural Matrix Factorization without Sampling for Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403147openalex-snapshot
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401072openalex-snapshot
Multi-behavior Recommendation with Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3397271.3401155openalex-snapshot
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
inferredcites →https://doi.org/10.1145/3397271.3401443openalex-snapshot
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
inferredcites →https://doi.org/10.1145/3397271.3401445openalex-snapshot
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
inferredcites →https://doi.org/10.1145/3404835.3462972openalex-snapshot
Graph Meta Network for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467415openalex-snapshot
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
inferredcites →https://doi.org/10.1145/3451391openalex-snapshot
Bayesian Additive Matrix Approximation for Social Recommendation
inferredcites →https://doi.org/10.1145/345508.345545openalex-snapshot
IR evaluation methods for retrieving highly relevant documents
inferredcites →https://doi.org/10.1145/3470659openalex-snapshot
Hybrid Variational Autoencoder for Recommender Systems
inferredcites →https://doi.org/10.1145/3532188openalex-snapshot
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation
inferredcites →https://doi.org/10.1145/3533725openalex-snapshot
Be Causal: De-Biasing Social Network Confounding in Recommendation
inferredcites →https://doi.org/10.1145/3539597.3570408openalex-snapshot
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/502585.502627openalex-snapshot
Evaluation of Item-Based Top- N Recommendation Algorithms
inferredcites →https://doi.org/10.1609/aaai.v33i01.330161openalex-snapshot
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
inferredcites →https://doi.org/10.1609/aaai.v34i01.5329openalex-snapshot
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.5894openalex-snapshot
Symmetric Metric Learning with Adaptive Margin for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.6094openalex-snapshot
Multi-Component Graph Convolutional Collaborative Filtering
inferredcites →https://doi.org/10.1609/aaai.v35i5.16515openalex-snapshot
Graph Heterogeneous Multi-Relational Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16576openalex-snapshot
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.18653/v1/p18-1172openalex-snapshot
Batch IS NOT Heavy: Learning Word Representations From All Samples
inferredcites →https://doi.org/10.24963/ijcai.2019/619openalex-snapshot
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
inferredcites →https://doi.org/10.24963/ijcai.2022/285openalex-snapshot
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0010openalex-snapshot
Multi-Task Feature Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s40031-024-00999-zopenalex-snapshot
A Novel Deep Learning Approach Toward Efficient and Accurate Recommendation Using Improved Alternating Least Squares in Social Media
inferred← citeshttps://doi.org/10.1007/s42979-024-03168-7openalex-snapshot
ASCM: Analysis of a Sequential and Collaborative Model for Recommendations
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109999openalex-snapshot
SCF: Structured collaborative filtering with heterogeneous implicit feedback
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113766openalex-snapshot
Noise-enhanced graph contrastive learning for multimodal recommendation systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130495openalex-snapshot
A novel zeroing neural network with activation function-enhanced convergence for efficient data matrix decomposition
inferred← citeshttps://doi.org/10.1109/icdm51629.2021.00183openalex-snapshot
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation
inferred← citeshttps://doi.org/10.1109/ickg66886.2025.00051openalex-snapshot
Preference-Aware Intent Fusion in Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3577900openalex-snapshot
Multibehavior Intent Disentangled Learning for Fine-Grained Interest Discovery in Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3618466openalex-snapshot
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3788878openalex-snapshot
Dynamic Dependency-Aware Collaborative Contrastive Learning for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3805622.3810603openalex-snapshot
Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation
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