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Reinforced Negative Sampling over Knowledge Graph for 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/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1145/2484028.2484126openalex-snapshot
Optimizing top-n collaborative filtering via dynamic negative item sampling
inferredcites →https://doi.org/10.1145/2556195.2556248openalex-snapshot
Improving pairwise learning for item recommendation from implicit feedback
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959163openalex-snapshot
Bayesian Personalized Ranking with Multi-Channel User Feedback
inferredcites →https://doi.org/10.1145/3097983.3098202openalex-snapshot
On Sampling Strategies for Neural Network-based Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186145openalex-snapshot
Aspect-Aware Latent Factor Model
inferredcites →https://doi.org/10.1145/3184558.3186905openalex-snapshot
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3219819.3220004openalex-snapshot
Neural Memory Streaming Recommender Networks with Adversarial Training
inferredcites →https://doi.org/10.1145/3240323.3240361openalex-snapshot
Recurrent knowledge graph embedding for effective recommendation
inferredcites →https://doi.org/10.1145/3240323.3240377openalex-snapshot
Word2vec applied to recommendation
inferredcites →https://doi.org/10.1145/3292500.3330836openalex-snapshot
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313416openalex-snapshot
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
inferredcites →https://doi.org/10.1145/3308558.3313705openalex-snapshot
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
inferredcites →https://doi.org/10.1145/3331184.3331203openalex-snapshot
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/309openalex-snapshot
Reinforced Negative Sampling for Recommendation with Exposure Data
inferredcites →https://doi.org/10.3390/a11090137openalex-snapshot
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Negative Sampling for Knowledge Graph Completion Based on Generative Adversarial Network
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Graph Neural Network Knowledge Graph Recommendation Model Integrating Deep Domain Information and Important Domain Information
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Entity-driven user intent inference for knowledge graph-based recommendation
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Knowledge graph-based recommendation with knowledge noise reduction and data augmentation
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SimRMKGC: Simple relational contrastive learning on multilingual knowledge graph completion
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Edge-based graph neighbor filtering network for recommendation
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Dynamic negative sampling for recommendation with feature matching
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Neighbor-Augmented Knowledge Graph Attention Network for Recommendation
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Knowledge-Aware Multi-view Contrastive Learning for Recommendation
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Comparing for the best: reinforcement learning for source citation identification with large language models
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GSIRec: Learning with graph side information for recommendation
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Multi-layer knowledge graph recommender with relational attention
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Multi-side contrastive learning with intent-enhanced for knowledge recommendation
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Path-guided intelligent switching over knowledge graphs with deep reinforcement learning for recommendation
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Intent with knowledge-aware multiview contrastive learning for recommendation
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KGAACDA: Knowledge graph attention-aware algorithm for CircRNA-disease association prediction
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Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph
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Exploring indirect entity relations for knowledge graph enhanced recommender system
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MGAT: Multimodal Graph Attention Network for Recommendation
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Combining Non-sampling and Self-attention for Sequential Recommendation
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Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation
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Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation
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Learning compact yet accurate Generative Adversarial Networks for recommender systems
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Recommendations with residual connections and negative sampling based on knowledge graphs
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CBRec: A causal way balancing multidimensional attraction effect in POI recommendations
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IF-NS: A New negative sampling framework for knowledge graph embedding using influence function
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Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network
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MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation
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A link prediction method for multi-modal knowledge graphs based on Adaptive Fusion and Modality Information Enhancement
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GMAMDA: Predicting Metabolite–Disease Associations Based on Adaptive Hardness Negative Sampling and Adaptive Graph Multiple Convolution
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Recommendation of deep reinforcement learning based on value function considering error reduction
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KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations
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Recommender Systems Based on Graph Embedding Techniques: A Review
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Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding
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Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
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TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network
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Enhancing Recommender Systems Using Graph Neural Networks, Long Short-Term Memory and Textual Embeddings
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Multimodal Knowledge Graph Completion Method Based on Integrated Modality Adversarial Training and Relation-Enhanced Attention Mechanism
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A Novel Concept-Driven Negative Sampling Mechanism for Enhancing Semanticity and Interpretability of Knowledge Graph Completion Task
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Bayesian Negative Sampling for Recommendation
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PMLF: Prediction-Sampling-Based Multilayer-Structured Latent Factor Analysis
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User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems
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CrsKGC-RSAN: Conflict Resolution Strategy for Knowledge Graph Completion
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DropMix: Better Graph Contrastive Learning with Harder Negative Samples
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Recommendation Model Combining RippleNet and KGCN
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BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks
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Research on Knowledge Graph-Based Recommender Systems
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Towards Engineering Fair Ontologies: Unbiasing a Surveillance Ontology
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Reinforcement Learning-Based Explainable Recommendation over Knowledge Graphs with Negative Sampling
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Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
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Enhancing Recommendations With Knowledge-Guided Interest Contrast
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Graph Contrastive Learning With Negative Propagation for Recommendation
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Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
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SamWalker++: recommendation with informative sampling strategy
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Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems
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A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
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Region or Global A Principle for Negative Sampling in Graph-based Recommendation
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MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation
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Knowledge Graph-Enhanced Sampling for Conversational Recommendation System
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Trust-aware Multi-task Knowledge Graph for Recommendation
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Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning
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Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation
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Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation
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Reinforced Path Reasoning for Counterfactual Explainable Recommendation
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Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph
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Debiased Pairwise Learning for Implicit Collaborative Filtering
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Account Risk Detection in Large-Scale Financial Graphs With Auxiliary Asset Prediction
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A Survey on Reinforcement Learning for Recommender Systems
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Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling
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Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications
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Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
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Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph
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Recommendation System: A Survey and New Perspectives
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Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
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STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization
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Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization
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Disentangled Graph Collaborative Filtering
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Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
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Deep Learning for Sequential Recommendation
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Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
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Learning Intents behind Interactions with Knowledge Graph for Recommendation
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Debiasing Learning based Cross-domain Recommendation
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Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
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CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
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DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
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Debiased Explainable Pairwise Ranking from Implicit Feedback
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Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator
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Moment is Important: Language-Based Video Moment Retrieval via Adversarial Learning
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Learning Robust Recommenders through Cross-Model Agreement
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Generalized Negative Sampling for Implicit Feedback in Recommendation
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LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation
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Graph Co-Attentive Session-based Recommendation
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FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
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Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph
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A Biased Sampling Method for Imbalanced Personalized Ranking
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Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
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Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation
inferred← citeshttps://doi.org/10.1145/3534678.3539430openalex-snapshot
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers
inferred← citeshttps://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
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Knowledge-Adaptive Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3543507.3583223openalex-snapshot
On the Theories Behind Hard Negative Sampling for Recommendation
inferred← citeshttps://doi.org/10.1145/3543507.3583241openalex-snapshot
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3543507.3583297openalex-snapshot
Preserving Missing Data Distribution in Synthetic Data
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Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings
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KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
inferred← citeshttps://doi.org/10.1145/3543846openalex-snapshot
Reinforcement Learning based Recommender Systems: A Survey
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A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms
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Bias and Debias in Recommender System: A Survey and Future Directions
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On the User Behavior Leakage from Recommender System Exposure
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Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph
inferred← citeshttps://doi.org/10.1145/3583780.3614845openalex-snapshot
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3583780.3615009openalex-snapshot
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3596519openalex-snapshot
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems
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Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
inferred← citeshttps://doi.org/10.1145/3626772.3657800openalex-snapshot
NativE: Multi-modal Knowledge Graph Completion in the Wild
inferred← citeshttps://doi.org/10.1145/3627673.3679896openalex-snapshot
Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings
inferred← citeshttps://doi.org/10.1145/3630259openalex-snapshot
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
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GE 2 : A General and Efficient Knowledge Graph Embedding Learning System
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Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications
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Denoising Alignment with Large Language Model for Recommendation
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Explaining Recommendation Fairness from a User/Item Perspective
inferred← citeshttps://doi.org/10.1145/3708657.3708764openalex-snapshot
The Debiasing Recommendation Algorithm Based on Pseudo-label Uncertainty Verification
inferred← citeshttps://doi.org/10.1145/3715101openalex-snapshot
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3730005openalex-snapshot
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
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Generating Negative Samples for Multi-Modal Recommendation
inferred← citeshttps://doi.org/10.1145/3768160openalex-snapshot
Interest-Disentangled Contrastive Sample Generation for Recommendation
inferred← citeshttps://doi.org/10.1145/3786595openalex-snapshot
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation
inferred← citeshttps://doi.org/10.1145/3787454openalex-snapshot
DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation
inferred← citeshttps://doi.org/10.1145/3793855openalex-snapshot
Negative Sampling in Recommendation: A Survey and Future Directions
inferred← citeshttps://doi.org/10.1177/1088467x261426714openalex-snapshot
Time highlighted multi-interest network for session-based news recommendation
inferred← citeshttps://doi.org/10.18297/etd/3843openalex-snapshot
New accurate, explainable, and unbiased machine learning models for recommendation with implicit feedback.
inferred← citeshttps://doi.org/10.2196/46275openalex-snapshot
Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
inferred← citeshttps://doi.org/10.2196/preprints.46276openalex-snapshot
Visual Analytics and Deep Mining of Multidimensional Oral Health Surveys (Preprint)
inferred← citeshttps://doi.org/10.3233/jifs-230982openalex-snapshot
HPRE: Leveraging hierarchy-aware paired relation vectors for knowledge graph embedding
inferred← citeshttps://doi.org/10.3233/sw-223041openalex-snapshot
Semantic Web technologies and bias in artificial intelligence: A systematic literature review
inferred← citeshttps://doi.org/10.32657/10356/155781openalex-snapshot
Exploiting side information for effective recommendation
inferred← citeshttps://doi.org/10.3390/app13137726openalex-snapshot
Efficient Tree Policy with Attention-Based State Representation for Interactive Recommendation
inferred← citeshttps://doi.org/10.3390/info12060231openalex-snapshot
Reinforcement Learning Page Prediction for Hierarchically Ordered Municipal Websites
inferred← citeshttps://doi.org/10.3390/s22103722openalex-snapshot
Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning
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