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On Sampled Metrics for Item Recommendation

https://doi.org/10.1145/3394486.3403226
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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.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/tnn.2007.912312openalex-snapshot
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
inferredcites →https://doi.org/10.1137/1.9781611974973.41openalex-snapshot
Selection of Negative Samples for One-class Matrix Factorization
inferredcites →https://doi.org/10.1145/2507157.2507189openalex-snapshot
Efficient top-n recommendation for very large scale binary rated datasets
inferredcites →https://doi.org/10.1145/2827872openalex-snapshot
The MovieLens Datasets
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3038912.3052694openalex-snapshot
A Generic Coordinate Descent Framework for Learning from Implicit Feedback
inferredcites →https://doi.org/10.1145/3159652.3159681openalex-snapshot
OpenRec
inferredcites →https://doi.org/10.1145/3209978.3209991openalex-snapshot
Collaborative Memory Network for Recommendation Systems
inferredcites →https://doi.org/10.1145/3240323.3240355openalex-snapshot
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.2307/1402630openalex-snapshot
Statistical Inference under Order Restrictions (The Theory and Application of Isotonic Regression)
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space

What points at this work

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

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Item Recommendation from Implicit Feedback
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Deep Learning for Recommender Systems
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Recommender Systems Evaluation
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Hybrid CF on Modeling Feature Importance with Joint Denoising AutoEncoder and SVD++
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Context-aware Graph Collaborative Recommendation Without Feature Entanglement
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Multi-channel Orthogonal Decomposition Attention Network for Sequential Recommendation
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Improving Micro-video Recommendation by Controlling Position Bias
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User Popularity Preference Aware Sequential Recommendation
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Impacts of Architectural Enhancements on Sequential Recommendation Models
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Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
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FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
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Multi-intent Aware Contrastive Learning for Sequential Recommendation
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Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism
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Improving Minimax Group Fairness in Sequential Recommendation
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Memory-Aware Multi-agent Architecture with LLM-Based Orchestration for Conversational Recommendation
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LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
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LAPTG: Length-Aligned Attentive Prefix-Target Graph for Sequential Recommendation
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Time-Frequency Adaptive Fusion for Sequential Recommendation
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From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance
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L3-POI: Integrating Popularity, Periodicity, and Short-Term Interests
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A Multi-view Heterogeneous Hypergraph Augmented Self-gating Contrastive Fusion Framework for Service Recommendation
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Adapting Language Models to Text Matching Based Recommendation Systems
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Adaptive Disentangled Contrastive Collaborative Filtering
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PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System
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LightGCN-Based Contrastive Cross-Domain Sequential Recommender System
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Identifying Misaligned Features for Cross-Domain Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-96-8170-9_26openalex-snapshot
Adaptive and Discriminative Contrastive Learning for Sequential Recommendation
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Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation
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Filtering with Time-Frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
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Filtering-Enhanced Denoising Transformer for Sequential Recommendation
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TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content
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A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
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TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
inferred← citeshttps://doi.org/10.1007/978-981-97-7241-4_5openalex-snapshot
FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-8502-5_29openalex-snapshot
Frequency Feature Enhanced Mix Calibration Attention Network for Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-99-8388-9_33openalex-snapshot
Sequence Unlearning for Sequential Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-99-8850-1_36openalex-snapshot
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation
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AUBRec: adaptive augmented self-attention via user behaviors for sequential recommendation
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Enhancing user and item representation with collaborative signals for KG-based recommendation
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FARec: frequency domain enhanced filter for sequential recommendation
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A framework for personalized recommendation with conditional generative adversarial networks
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Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation
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Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation
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LSR-NCL: LLM-guided semantic regularization with training-inference decoupling for robust recommendation
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Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning
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CateReg: category regularization of graph convolutional networks based collaborative filtering
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Dual-view co-contrastive learning for multi-behavior recommendation
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Dual channel group-aware graph convolutional networks for collaborative filtering
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Uniform regularization and contrastive learning to mitigate the long-tail effect of recommendation algorithms
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Proxy-enhanced cross-domain sequential recommendation
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A sampling approach to Debiasing the offline evaluation of recommender systems
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TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation
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GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation
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Knowledge-aware multi-level diffusion contrastive learning for recommendation
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TFRec:a time-frequency model for capturing periodic preferences in sequential recommendation
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Improving accountability in recommender systems research through reproducibility
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Deep adversarial group recommendation with user feature space separation
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GSIRec: Learning with graph side information for recommendation
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NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation
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Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation
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Beyond Single Sequence: User Correlation Guided Cross-sequence Mixing for Sequential Recommendation
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Profiling users with tag-enhanced spherical metric learning for recommendation
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A multi-criteria attention-LSTM approach for enhancing privacy and accuracy in recommender systems
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Global–Local Intent Contrastive Learning for Sequential Recommendation
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DualCFGL: dual-channel fusion global and local features for sequential recommendation
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A probabilistic perspective on nearest neighbor for implicit recommendation
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Cross-domain sequential recommendation base on Fourier transform and contrastive variational augmentation
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Dual representation propagation comparative learning for recommendations
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Revisiting the loss functions in sequential recommendation
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Longest & uniform subsequence representation: Time interval dependent data augmentation for sequential recommendation
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MGT: Multi-Granularity Transformer leveraging multi-level relation for sequential recommendation
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Multi-behavior recommendation with SVD Graph Neural Networks
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Multi-space interaction learning for disentangled knowledge-aware recommendation
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Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics
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GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems
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A Social-aware Gaussian Pre-trained model for effective cold-start recommendation
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Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation
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Personalized Knowledge Distillation for Recommender System
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Recommendations with residual connections and negative sampling based on knowledge graphs
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SSE4Rec: Sequential recommendation with subsequence extraction
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Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation
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EKGDR: An End-to-End Knowledge Graph-Based Method for Computational Drug Repurposing
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FedSCOPE: Federated cross-domain sequential recommendation with decoupled contrastive learning and privacy-preserving semantic enhancement
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Link prediction using low-dimensional node embeddings: The measurement problem
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Sincere or Falsehearted? Investigation of Online Reviews and Merchant Response
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Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations
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Time-Aware Recommender Systems: A Comprehensive Survey and Quantitative Assessment of Literature
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Adaptive Frequency Domain Data Augmentation for Sequential Recommendation
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A Distribution Agnostic Rank-Based Measure for Proximity Search
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Context-Aware Negative Sampling for Sequential Recommendation
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End-to-End Explainable Sequential Recommendation Based on Multi-Strategy Training and Adaptive Loss Balancing
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Large Language Model Semantic-Guided Counterfactual Data Augmentation for Cross-Domain Sequential Recommendation
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An Improved Recommendation Algorithm Based on Attention Mechanism
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IDBDA-SRec: Interest-Driven and Balanced Data Augmentation for Sequential Recommendation
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CAMERA: Cross-Feature Aligned Model for Recognizing Top Antimicrobial Peptides
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Location YardStick: Calculation of the Location Data Value Depending on the Users’ Context
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Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System
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Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer
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MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation
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Recommendation model based on knowledge graphs and semantic alignment
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Intent Based Knowledge Graph Aware Recommender System with Causal Inference
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Integrating Hypergraph and Fourier Transform for Sequential Recommendation
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Cluster-Aware Item Prompt Learning for Session-Based Recommendation
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Learning a Wavelet Neural Filter with Mamba for Sequential Recommendation
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Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582131openalex-snapshot
Frequency-Domain Enhancement and Linear Attention for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582436openalex-snapshot
Wavelet-Enhanced Expert Attention Network for Sequential Recommendation
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EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032442openalex-snapshot
Incorporating Accuracy and Diversity in a News Recommender System
inferred← citeshttps://doi.org/10.1109/hpcc67675.2025.00026openalex-snapshot
Sequential Recommendation Based on Causal Inference
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463031openalex-snapshot
Vector Quantized Intent Contrastive Learning For Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00093openalex-snapshot
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00099openalex-snapshot
Contrastive Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00202openalex-snapshot
Spatial-Temporal Interval Aware Sequential POI Recommendation
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00243openalex-snapshot
FedRecAttack: Model Poisoning Attack to Federated Recommendation
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Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
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Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00102openalex-snapshot
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00108openalex-snapshot
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation
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Multi-Modality is All You Need for Transferable Recommender Systems
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Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training
inferred← citeshttps://doi.org/10.1109/icdm51629.2021.00063openalex-snapshot
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00039openalex-snapshot
One Person, One Model—Learning Compound Router for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00053openalex-snapshot
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00017openalex-snapshot
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00100openalex-snapshot
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation
inferred← citeshttps://doi.org/10.1109/icdmw53433.2021.00015openalex-snapshot
Balanced News Neural Network for a News Recommender System
inferred← citeshttps://doi.org/10.1109/icict55905.2022.00018openalex-snapshot
A Self-Served AI Tutor for Growth Mindset Teaching
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191111openalex-snapshot
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191129openalex-snapshot
Proxy-Aware Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892008openalex-snapshot
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892221openalex-snapshot
Improving Sequential Recommendation via Subsequence Extraction
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650082openalex-snapshot
Sequential Patterns Unveiled: A Novel Hypergraph Convolution Approach for Dynamic User Preference Analysis
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228508openalex-snapshot
MKPR-GAT : Personalized Recommendation Algorithm for Traditional Chinese Medicine Prescription Based on Knowledge Graph
inferred← citeshttps://doi.org/10.1109/imse61332.2023.00046openalex-snapshot
Multi-Scale Automated Self-Supervised Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/infocom52122.2024.10621240openalex-snapshot
AeroRec: An Efficient On-Device Recommendation Framework using Federated Self-Supervised Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/iscipt53667.2021.00146openalex-snapshot
Feature Similarity Learning Enhanced Knowledge Graph-based Convolutional Networks for Recommendation
inferred← citeshttps://doi.org/10.1109/jas.2021.1003919openalex-snapshot
An Overview of Recommendation Techniques and Their Applications in Healthcare
inferred← citeshttps://doi.org/10.1109/jiot.2024.3439527openalex-snapshot
KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1109/mmsp55362.2022.9949145openalex-snapshot
Multiple Behaviors Recommendation with Graph Learning
inferred← citeshttps://doi.org/10.1109/msn53354.2021.00121openalex-snapshot
AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System
inferred← citeshttps://doi.org/10.1109/nana60121.2023.00093openalex-snapshot
Improving Bipartite Networks Embedding with Partially Available Vertex Content
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343396openalex-snapshot
SMoERec: Split-Band Mixture of Experts with Implicit Distillation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3204759openalex-snapshot
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3552341openalex-snapshot
Multi-Objective Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3225234openalex-snapshot
Knowledge Graph-Based Convolutional Network Coupled With Sentiment Analysis Towards Enhanced Drug Recommendation
inferred← citeshttps://doi.org/10.1109/tcbbio.2025.3581509openalex-snapshot
BTR-MCL: A Bioinformatics Tool Recommendation Method With Multi-View Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tce.2024.3510862openalex-snapshot
Graph Contrastive Learning for Multi-Behavior Recommender System
inferred← citeshttps://doi.org/10.1109/tcss.2024.3353467openalex-snapshot
Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware 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/tcss.2025.3580138openalex-snapshot
Improving Representation Alignment and Uniformity With Siamese Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3611999openalex-snapshot
Disentangling Temporal Evolution in Frequency Domain for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2026.3693309openalex-snapshot
Knowledge-Guided Contrastive Preference Modeling for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tetc.2023.3286404openalex-snapshot
Deep Attentive Interest Collaborative Filtering for Recommender Systems
inferred← citeshttps://doi.org/10.1109/tifs.2021.3117078openalex-snapshot
Attacking Recommender Systems With Plausible Profile
inferred← citeshttps://doi.org/10.1109/tkde.2021.3116352openalex-snapshot
Fast Convolutional Factorization Machine with Enhanced Robustness
inferred← citeshttps://doi.org/10.1109/tkde.2022.3145690openalex-snapshot
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3185388openalex-snapshot
Disentangled Modeling of Social Homophily and Influence for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3187013openalex-snapshot
A Survey on Dropout Methods and Experimental Verification in Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3209008openalex-snapshot
Finding High-quality Item Attributes for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3221873openalex-snapshot
Disentangling Geographical Effect for Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2023.3343345openalex-snapshot
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3572014openalex-snapshot
Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization
inferred← citeshttps://doi.org/10.1109/tkde.2025.3582767openalex-snapshot
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2026.3715453openalex-snapshot
Why is Repeated Padding Effective for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2021.3088281openalex-snapshot
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2023.3295740openalex-snapshot
Personalized Representation With Contrastive Loss for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3171335openalex-snapshot
Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation
inferred← citeshttps://doi.org/10.1109/tpami.2024.3354910openalex-snapshot
Boosting Factorization Machines via Saliency-Guided Mixup
inferred← citeshttps://doi.org/10.1109/tpami.2024.3373868openalex-snapshot
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
inferred← citeshttps://doi.org/10.1109/tpami.2024.3519711openalex-snapshot
Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback
inferred← citeshttps://doi.org/10.1109/tpami.2026.3663633openalex-snapshot
Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2025.3620442openalex-snapshot
Spatio-Temporal Intent Modeling for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tsmc.2023.3241083openalex-snapshot
Attentive Adversarial Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/wi-iat67162.2025.00019openalex-snapshot
Robust Sequential Recommendation Through Intraand Cross-Sequence Semantic Alignment
inferred← citeshttps://doi.org/10.1109/wocc63563.2025.11082192openalex-snapshot
TCM_ICPR: Personalized Recommendation Algorithm for Traditional Chinese Medicine Prescriptions Based on Knowledge Graph Enhancement
inferred← citeshttps://doi.org/10.1137/1.9781611977172.62openalex-snapshot
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
inferred← citeshttps://doi.org/10.1145/3383313.3412259openalex-snapshot
On Target Item Sampling in Offline Recommender System Evaluation
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