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ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation

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What this work says

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

inferredcites →https://doi.org/10.1016/j.neucom.2023.01.089openalex-snapshot
Deconfounded recommendation via causal intervention
inferredcites →https://doi.org/10.1080/01621459.2017.1285773openalex-snapshot
Variational Inference: A Review for Statisticians
inferredcites →https://doi.org/10.1089/big.2014.0063openalex-snapshot
Why Amazon's Ratings Might Mislead You: The Story of Herding Effects
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2022.3145690openalex-snapshot
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1557019.1557094openalex-snapshot
Mind the gaps
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2740908.2742726openalex-snapshot
AutoRec
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/10.1145/2959100.2959141openalex-snapshot
Are You Influenced by Others When Rating?
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/10.1145/3130332.3130334openalex-snapshot
Accurately Interpreting Clickthrough Data as Implicit Feedback
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/10.1145/3240323.3240355openalex-snapshot
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback
inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot
Causal embeddings for recommendation
inferredcites →https://doi.org/10.1145/3269206.3271742openalex-snapshot
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation
inferredcites →https://doi.org/10.1145/3289600.3290999openalex-snapshot
Top-K Off-Policy Correction for a REINFORCE Recommender System
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-snapshot
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1145/3308558.3313582openalex-snapshot
SamWalker: Social Recommendation with Informative Sampling Strategy
inferredcites →https://doi.org/10.1145/3308558.3313710openalex-snapshot
Embarrassingly Shallow Autoencoders for Sparse Data
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371783openalex-snapshot
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
inferredcites →https://doi.org/10.1145/3383313.3412210openalex-snapshot
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
inferredcites →https://doi.org/10.1145/3394486.3403285openalex-snapshot
Attribute-based Propensity for Unbiased Learning in Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401083openalex-snapshot
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
inferredcites →https://doi.org/10.1145/3404835.3462875openalex-snapshot
Causal Intervention for Leveraging Popularity Bias in Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462919openalex-snapshot
AutoDebias: Learning to Debias for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3463118openalex-snapshot
Dual Unbiased Recommender Learning for Implicit Feedback
inferredcites →https://doi.org/10.1145/3409256.3409812openalex-snapshot
Unbiased Pairwise Learning from Biased Implicit Feedback
inferredcites →https://doi.org/10.1145/3442381.3449788openalex-snapshot
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
inferredcites →https://doi.org/10.1145/3442381.3449927openalex-snapshot
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
inferredcites →https://doi.org/10.1145/3474085.3475266openalex-snapshot
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3477495.3531946openalex-snapshot
Bilateral Self-unbiased Learning from Biased Implicit Feedback
inferredcites →https://doi.org/10.1145/3511808.3557314openalex-snapshot
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3533725openalex-snapshot
Be Causal: De-Biasing Social Network Confounding in Recommendation
inferredcites →https://doi.org/10.1145/3539597.3570483openalex-snapshot
Knowledge-Adaptive Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591636openalex-snapshot
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583341openalex-snapshot
Improving Recommendation Fairness via Data Augmentation
inferredcites →https://doi.org/10.1145/3543507.3583361openalex-snapshot
Debiased Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
inferredcites →https://doi.org/10.1145/3589334.3645598openalex-snapshot
Distributionally Robust Graph-based Recommendation System
inferredcites →https://doi.org/10.1145/3594871openalex-snapshot
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
inferredcites →https://doi.org/10.1145/3610302openalex-snapshot
Fairness in Recommendation: Foundations, Methods, and Applications
inferredcites →https://doi.org/10.1145/3626772.3657747openalex-snapshot
SIGformer: Sign-aware Graph Transformer for Recommendation
inferredcites →https://doi.org/10.1145/3640457.3688118openalex-snapshot
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
inferredcites →https://doi.org/10.1145/3701551.3703579openalex-snapshot
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
inferredcites →https://doi.org/10.1609/aaai.v32i1.11835openalex-snapshot
Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.5751openalex-snapshot
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.2202.02576openalex-snapshot
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.jcmds.2026.100131openalex-snapshot
Adaptive collaborative filtering for multi-objective Top-N recommendations with implicit feedback
inferred← citeshttps://doi.org/10.1109/iciscae66104.2025.11307369openalex-snapshot
A Study on LTL - Vehicle Matching and Recommendation Planning Based on the DCNV3 Algorithm and Large Language Models
inferred← citeshttps://doi.org/10.1109/tkde.2024.3479240openalex-snapshot
Debiased Pairwise Learning for Implicit Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/tkde.2026.3669816openalex-snapshot
Training-Free and Unbiased Graph Collaborative Filtering for Personalized Recommendations
inferred← citeshttps://doi.org/10.1145/3701551.3703579openalex-snapshot
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
inferred← citeshttps://doi.org/10.1145/3726302.3730260openalex-snapshot
Unbiased Collaborative Filtering with Fair Sampling
inferred← citeshttps://doi.org/10.1145/3745023openalex-snapshot
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3749106openalex-snapshot
A Fair Enhanced Bayesian Personalized Ranking Using Adversarial Learning
inferred← citeshttps://doi.org/10.1145/3770855.3817619openalex-snapshot
Interactive Recommendation Agent with Active User Commands
inferred← citeshttps://doi.org/10.1145/3785146openalex-snapshot
Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data
inferred← citeshttps://doi.org/10.1145/3806832openalex-snapshot
ERA: Meta Representation Alignment for Data Bias Mitigation in Recommendations
inferred← citeshttps://doi.org/10.1145/3847657openalex-snapshot
Lightweight Denoising and Aligning for Multi-modal Recommender System
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