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Sequential Recommendation with Multiple Contrast Signals
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58621-8_45openalex-snapshot
Contrastive Multiview Coding
inferredcites →https://doi.org/10.1007/s11263-021-01453-zopenalex-snapshot
Knowledge Distillation: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00393openalex-snapshot
Unsupervised Feature Learning via Non-parametric Instance Discrimination
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00674openalex-snapshot
Self-Supervised Learning of Pretext-Invariant Representations
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2016.0030openalex-snapshot
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2021.3090866openalex-snapshot
Self-supervised Learning: Generative or Contrastive
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot
Modeling User Exposure in Recommendation
inferredcites →https://doi.org/10.1145/2939672.2939875openalex-snapshot
Recurrent Marked Temporal Point Processes
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3209978.3210006openalex-snapshot
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
inferredcites →https://doi.org/10.1145/3269206.3271761openalex-snapshot
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3289600.3290975openalex-snapshot
A Simple Convolutional Generative Network for Next Item Recommendation
inferredcites →https://doi.org/10.1145/3308558.3313594openalex-snapshot
Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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/10.1145/3340531.3411954openalex-snapshot
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3394486.3403091openalex-snapshot
Disentangled Self-Supervision in Sequential Recommenders
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403262openalex-snapshot
On Sampling Top-K Recommendation Evaluation
inferredcites →https://doi.org/10.1145/3397271.3401156openalex-snapshot
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441802openalex-snapshot
Temporal Cross-Effects in Knowledge Tracing
inferredcites →https://doi.org/10.1145/3447548.3467102openalex-snapshot
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3459637.3481952openalex-snapshot
Self-supervised Learning for Large-scale Item Recommendations
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015709openalex-snapshot
Multi-Order Attentive Ranking Model for Sequential Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.482openalex-snapshot
Contrastive Code Representation Learning
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.552openalex-snapshot
SimCSE: Simple Contrastive Learning of Sentence Embeddings
inferredcites →https://doi.org/10.18653/v1/k16-1002openalex-snapshot
Generating Sentences from a Continuous Space
inferredcites →https://doi.org/10.24963/ijcai.2019/883openalex-snapshot
Sequential Recommender Systems: Challenges, Progress and Prospects
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.4230/lipics.wads.2025.45openalex-snapshot
Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot
Representation Learning with Contrastive Predictive Coding
inferredcites →https://doi.org/10.48550/arxiv.2012.15466openalex-snapshot
CLEAR: Contrastive Learning for Sentence Representation
inferredcites →https://doi.org/10.48550/arxiv.2101.01317openalex-snapshot
Contrastive Learning for Recommender System
inferredcites →https://doi.org/10.7551/mitpress/7503.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 19
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4750353openalex-extracted
Modeling Long- and Short-Term Preferences Via Frequency Attention for Sequential Recommendation
inferred← citeshttps://doi.org/10.1002/cpe.70585openalex-snapshot
Sequence Recommendation for Mobile Application via Time Interval‐Aware Attention and Contrastive Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-77617-5_15openalex-snapshot
Exploring Language Modeling Techniques for Improved Recommender Systems
inferred← citeshttps://doi.org/10.1007/s10844-023-00825-wopenalex-snapshot
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation
inferred← citeshttps://doi.org/10.1007/s10844-025-00986-wopenalex-snapshot
Fusion of diffusion models and intent learning in sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119911openalex-snapshot
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121576openalex-snapshot
MATER: Bi-level matching-aggregation model for time-aware expert recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127850openalex-snapshot
Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.1016/j.is.2024.102470openalex-snapshot
Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108166openalex-snapshot
Autoencoder-based contrastive learning for next basket recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108599openalex-snapshot
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning
inferred← citeshttps://doi.org/10.1049/aie2.70004openalex-snapshot
Contrastive Learning for Sequential Recommendation With Negative Selection and Augmentation
inferred← citeshttps://doi.org/10.1093/molbev/msag066openalex-snapshot
Displacement-Optimized Tanglegrams for Trees and Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3440351openalex-snapshot
SR-DSGA: Session Recommendation for Dual Sequence Based on Graph Neural Network and Multi-Attention
inferred← citeshttps://doi.org/10.1109/access.2024.3513982openalex-snapshot
Position-Awareness and Hypergraph Contrastive Learning for Multi-Behavior Sequence Recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3647754openalex-snapshot
Adaptive Fusion of Dual-Scale Preference Disentanglement for Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/amlds63918.2025.11159437openalex-snapshot
ACRec: Adaptive Contrastive Learning for Sequential Recommendation Based on Transformer
inferred← citeshttps://doi.org/10.1109/bigcom57025.2022.00042openalex-snapshot
GroupDiff: Exploring A Unified Graph Structure and High-order Interactions for Group Recommendation
inferred← citeshttps://doi.org/10.1109/cisat71030.2026.11682514openalex-snapshot
Multi-behavior Sequential Recommendation via Reinforcement Learning and Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/cyberc66434.2025.00026openalex-snapshot
Clustering-Driven Mamba with Balanced Contrastive Learning for Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889033openalex-snapshot
Fine-Grained Global Modeling Learning for Personalized Federated Sequential Recommender
inferred← citeshttps://doi.org/10.1109/icetci61221.2024.10594578openalex-snapshot
CLGENRec: Contrastive Learning and Graph Enhanced Network for Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/icsp69961.2026.11540679openalex-snapshot
Hierarchical Positive Sample Collaboration for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651448openalex-snapshot
Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229313openalex-snapshot
Self-supervised Graph Convolutional Networks for Multi-criteria Rating Recommendation
inferred← citeshttps://doi.org/10.1109/isriti68345.2025.11393365openalex-snapshot
An Evaluation of the GRU4Rec Model for Sequential Recommendation in the Music Domain
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3525507openalex-snapshot
SDPR: Prescription Recommendation With Syndrome Differentiation in Traditional Chinese Medicine
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.2026.3669991openalex-snapshot
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
inferred← citeshttps://doi.org/10.1109/tits.2024.3504523openalex-snapshot
Grapeseed: Generative Split-Learning for Privacy Preserving Sequential Recommendation in Vehicular Cloud-Powered Intelligent Transportation Systems
inferred← citeshttps://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2023.3317068openalex-snapshot
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
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.2024.3509480openalex-snapshot
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3278673openalex-snapshot
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation
inferred← citeshttps://doi.org/10.1109/tsc.2023.3237638openalex-snapshot
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders
inferred← citeshttps://doi.org/10.1109/tsc.2024.3376232openalex-snapshot
A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term Interests
inferred← citeshttps://doi.org/10.1109/tsc.2024.3520868openalex-snapshot
Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3534678.3539253openalex-snapshot
Towards Representation Alignment and Uniformity in Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3539618.3591692openalex-snapshot
Graph Masked Autoencoder for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591995openalex-snapshot
Neighborhood-based Hard Negative Mining for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3614813openalex-snapshot
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3615498openalex-snapshot
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3604436openalex-snapshot
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling
inferred← citeshttps://doi.org/10.1145/3617510openalex-snapshot
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction
inferred← citeshttps://doi.org/10.1145/3626772.3657816openalex-snapshot
Scaling Sequential Recommendation Models with Transformers
inferred← citeshttps://doi.org/10.1145/3627158openalex-snapshot
Contrastive Self-supervised Learning in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3630259openalex-snapshot
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3632403openalex-snapshot
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
inferred← citeshttps://doi.org/10.1145/3688570openalex-snapshot
Federated Recommender System Based on Diffusion Augmentation and Guided Denoising
inferred← citeshttps://doi.org/10.1145/3688571openalex-snapshot
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3711896.3737182openalex-snapshot
Your Graph Recommenders are Provably Doing Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3719343openalex-snapshot
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3722553openalex-snapshot
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
inferred← citeshttps://doi.org/10.1145/3722561openalex-snapshot
MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation
inferred← citeshttps://doi.org/10.1145/3746027.3754564openalex-snapshot
Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
inferred← citeshttps://doi.org/10.1145/3750724openalex-snapshot
Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations
inferred← citeshttps://doi.org/10.1145/3777368openalex-snapshot
Disentangled Interest Network for Out-of-Distribution CTR Prediction
inferred← citeshttps://doi.org/10.1145/3787454openalex-snapshot
DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation
inferred← citeshttps://doi.org/10.1145/3795520openalex-snapshot
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
inferred← citeshttps://doi.org/10.1145/3796521openalex-snapshot
SSRec: Structured Ranking Optimization Criterion for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3801160openalex-snapshot
Adaptive Temporal Expert Routing with Hierarchical Wavelet Enhancement for Multi-Modal Sequential Recommendation
inferred← citeshttps://doi.org/10.2139/ssrn.6293368openalex-snapshot
Hierarchical Context-Aware Dynamic Memory System for Large Language Model Recommendation with evolving user interests
inferred← citeshttps://doi.org/10.2139/ssrn.6862099openalex-snapshot
Unlocking the Potential of Spatio-Temporal Hypergraphs with Frequency-Domain Gated Fusion for Next Point-of-Interest Recommendation
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Enhancing recommender systems via data augmentation
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