On the public citation graph
Sequential Recommendation System Based on Deep Learning: A Survey
0 signed · 147 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
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_8openalex-snapshot
Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_3openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-642-35289-8_32openalex-snapshot
A Practical Guide to Training Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1007/978-3-642-45135-5_10openalex-snapshot
Dimensions and Metrics for Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/s00521-020-05643-7openalex-snapshot
Attentive Hybrid Recurrent Neural Networks for sequential recommendation
inferredcites →https://doi.org/10.1007/s00521-021-05723-2openalex-snapshot
Item trend learning for sequential recommendation system using gated graph neural network
inferredcites →https://doi.org/10.1007/s10115-022-01711-7openalex-snapshot
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
inferredcites →https://doi.org/10.1007/s10489-018-01402-3openalex-snapshot
User profile as a bridge in cross-domain recommender systems for sparsity reduction
inferredcites →https://doi.org/10.1007/s10489-022-03170-7openalex-snapshot
High-order attentive graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1007/s10489-023-04736-9openalex-snapshot
Intention-aware denoising graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1007/s42979-023-02166-5openalex-snapshot
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation
inferredcites →https://doi.org/10.1016/j.asoc.2023.110481openalex-snapshot
Contrastive Learning with Frequency Domain for Sequential Recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2022.117391openalex-snapshot
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2022.118563openalex-snapshot
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning
inferredcites →https://doi.org/10.1016/j.eswa.2022.118887openalex-snapshot
Enhanced graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2023.119911openalex-snapshot
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation
inferredcites →https://doi.org/10.1016/j.ins.2022.10.025openalex-snapshot
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2022.103209openalex-snapshot
Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations
inferredcites →https://doi.org/10.1016/j.ipm.2023.103416openalex-snapshot
Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning
inferredcites →https://doi.org/10.1016/j.is.2024.102427openalex-snapshot
A survey of sequential recommendation systems: Techniques, evaluation, and future directions
inferredcites →https://doi.org/10.1016/j.knosys.2021.107375openalex-snapshot
GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2022.109204openalex-snapshot
Time enhanced graph neural networks for session-based recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2022.110201openalex-snapshot
Position-aware graph neural network for session-based recommendation
inferredcites →https://doi.org/10.1016/j.neucom.2021.11.068openalex-snapshot
Graph neural networks with global noise filtering for session-based recommendation
inferredcites →https://doi.org/10.1016/j.patcog.2023.109504openalex-snapshot
Multi-dimensional Graph Neural Network for Sequential Recommendation
inferredcites →https://doi.org/10.1016/j.rcim.2023.102660openalex-snapshot
A highly powerful calibration method for robotic smoothing system calibration via using adaptive residual extended Kalman filter
inferredcites →https://doi.org/10.1016/s0925-2312(01)00702-0openalex-snapshot
Time series forecasting using a hybrid ARIMA and neural network model
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1038/nbt1206-1565openalex-snapshot
What is a support vector machine?
inferredcites →https://doi.org/10.1109/access.2020.2997722openalex-snapshot
ReGNN: A Repeat Aware Graph Neural Network for Session-Based Recommendations
inferredcites →https://doi.org/10.1109/access.2023.3286021openalex-snapshot
Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation
inferredcites →https://doi.org/10.1109/access.2023.3293839openalex-snapshot
Item Attribute-Aware Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/icassp49357.2023.10097031openalex-snapshot
Int-GNN: A User Intention Aware Graph Neural Network for Session-Based Recommendation
inferredcites →https://doi.org/10.1109/icde53745.2022.00099openalex-snapshot
Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icme52920.2022.9859593openalex-snapshot
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
inferredcites →https://doi.org/10.1109/tcsii.2022.3199158openalex-snapshot
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective
inferredcites →https://doi.org/10.1109/tcss.2022.3164655openalex-snapshot
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms
inferredcites →https://doi.org/10.1109/tcyb.2020.3029002openalex-snapshot
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1109/tii.2021.3091435openalex-snapshot
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2021.3073411openalex-snapshot
Graph-based Embedding Smoothing for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3151618openalex-snapshot
Dynamic Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3199373openalex-snapshot
Multi Global Information Assisted Streaming Session-Based Recommendation System
inferredcites →https://doi.org/10.1109/tkde.2022.3208782openalex-snapshot
Disentangled Graph Neural Networks for Session-Based Recommendation
inferredcites →https://doi.org/10.1109/tkde.2024.3357498openalex-snapshot
Personalized Prompt for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tmm.2021.3097186openalex-snapshot
Annular-Graph Attention Model for Personalized Sequential Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2022.3153039openalex-snapshot
Diversified Regularization Enhanced Training for Effective Manipulator Calibration
inferredcites →https://doi.org/10.1109/tnnls.2022.3201533openalex-snapshot
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation
inferredcites →https://doi.org/10.1109/tpami.2022.3204236openalex-snapshot
Explainability in Graph Neural Networks: A Taxonomic Survey
inferredcites →https://doi.org/10.1109/tsmc.2023.3242308openalex-snapshot
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2043932.2043955openalex-snapshot
Rank and relevance in novelty and diversity metrics for recommender systems
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2645710.2645728openalex-snapshot
Ratings meet reviews, a combined approach to recommend
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3109859.3109877openalex-snapshot
Sequential User-based Recurrent Neural Network Recommendations
inferredcites →https://doi.org/10.1145/3109859.3109882openalex-snapshot
Translation-based Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3269206.3271795openalex-snapshot
Fairness-Aware Tensor-Based Recommendation
inferredcites →https://doi.org/10.1145/3289600.3290975openalex-snapshot
A Simple Convolutional Generative Network for Next Item Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330944openalex-snapshot
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411897openalex-snapshot
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
inferredcites →https://doi.org/10.1145/3340531.3412014openalex-snapshot
Star Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3357384.3358010openalex-snapshot
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3382764openalex-snapshot
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403170openalex-snapshot
Handling Information Loss of Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401098openalex-snapshot
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401142openalex-snapshot
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401319openalex-snapshot
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462866openalex-snapshot
Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration
inferredcites →https://doi.org/10.1145/3404835.3463112openalex-snapshot
Temporal Augmented Graph Neural Networks for Session-Based Recommendations
inferredcites →https://doi.org/10.1145/3437963.3441792openalex-snapshot
An Efficient and Effective Framework for Session-based Social Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449957openalex-snapshot
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
inferredcites →https://doi.org/10.1145/3465401openalex-snapshot
A Survey on Session-based Recommender Systems
inferredcites →https://doi.org/10.1145/3475768openalex-snapshot
Multi-interest Diversification for End-to-end Sequential Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531918openalex-snapshot
Dual Contrastive Network for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3477495.3532009openalex-snapshot
Knowledge Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512090openalex-snapshot
Intent Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512098openalex-snapshot
Disentangling Long and Short-Term Interests for Recommendation
inferredcites →https://doi.org/10.1145/3486622.3493949openalex-snapshot
Cross-Domain Attentive Sequential Recommendations based on General and Current User Preferences (CD-ASR)
inferredcites →https://doi.org/10.1145/3488560.3498505openalex-snapshot
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
inferredcites →https://doi.org/10.1145/3495162openalex-snapshot
A Survey on Text Classification: From Traditional to Deep Learning
inferredcites →https://doi.org/10.1145/3495163openalex-snapshot
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
inferredcites →https://doi.org/10.1145/3511700openalex-snapshot
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
inferredcites →https://doi.org/10.1145/3511808.3557317openalex-snapshot
Explanation Guided Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557404openalex-snapshot
Multi-level Contrastive Learning Framework for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3528668openalex-snapshot
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction
inferredcites →https://doi.org/10.1145/3539597.3570411openalex-snapshot
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583361openalex-snapshot
Debiased Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583526openalex-snapshot
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation
inferredcites →https://doi.org/10.1145/3583780.3615483openalex-snapshot
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework
inferredcites →https://doi.org/10.1145/3616855.3635850openalex-snapshot
DiffKG: Knowledge Graph Diffusion Model for Recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1364/oe.497093openalex-snapshot
A novel method for improving optical component smoothing quality in robotic smoothing systems by compensating path errors
inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1609/aaai.v32i1.11604openalex-snapshot
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
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.v34i04.5945openalex-snapshot
Memory Augmented Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2017/343openalex-snapshot
Cross-Domain Recommendation: An Embedding and Mapping Approach
inferredcites →https://doi.org/10.24963/ijcai.2018/546openalex-snapshot
Sequential Recommender System based on Hierarchical Attention Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/883openalex-snapshot
Sequential Recommender Systems: Challenges, Progress and Prospects
inferredcites →https://doi.org/10.24963/ijcai.2021/630openalex-snapshot
Graph Learning based Recommender Systems: A Review
inferredcites →https://doi.org/10.24963/ijcai.2021/639openalex-snapshot
Cross-Domain Recommendation: Challenges, Progress, and Prospects
inferredcites →https://doi.org/10.3390/app122211765openalex-snapshot
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation
inferredcites →https://doi.org/10.3390/info11080388openalex-snapshot
Knowledge-Enhanced Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.3390/rs13061054openalex-snapshot
GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets
inferredcites →https://doi.org/10.3390/s23125572openalex-snapshot
Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.3727/109830511x12978702284390openalex-snapshot
Mobile Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1704.06803openalex-snapshot
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1902.07565openalex-snapshot
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1906.00910openalex-snapshot
Learning Representations by Maximizing Mutual Information Across Views
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s13042-026-03189-zopenalex-snapshot
DIA: a deep interaction-aware multimodal recommendation model
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100818openalex-snapshot
Sequential recommender systems: A methodological taxonomy and research frontiers
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104996openalex-snapshot
A decision-centric framework for timing and intensity of recommendation interventions
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402469openalex-snapshot
Skillgraph-Align: A Skill Graph Enhanced Job Recommendation Method for University Graduates—A Decade-Long Validation on Real-World Data
inferred← citeshttps://doi.org/10.1109/cisat66811.2025.11181861openalex-snapshot
A Hybrid User Behavior Prediction Model for Wireless Networks Based on Collaborative Filtering and GRU Networks
inferred← citeshttps://doi.org/10.1109/ic-eeta66496.2025.11548015openalex-snapshot
Explanatory Transformer-Based Sequential Recommendation: Assessing BERTRec with SASRec for Customer Behaviour Prediction
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11233158openalex-snapshot
A Personalized English Test Questions Resource Recommendation System Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/src65875.2025.11263514openalex-snapshot
AI-Powered Conference Recommendation: Fine-Tuning Language Models for Context-Aware Academic Support
inferred← citeshttps://doi.org/10.1145/3805712.3809892openalex-snapshot
RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
inferred← citeshttps://doi.org/10.12677/csa.2026.163087openalex-snapshot
Session-Based Recommendation Using Graph Attention Networks Enhanced with Temporal Information
inferred← citeshttps://doi.org/10.1371/journal.pone.0340851openalex-snapshot
Neural network-driven user behavior forecasting and personalized recommendation in power marketing
inferred← citeshttps://doi.org/10.30812/matrik.v25i2.5988openalex-snapshot
Optimizing Content Recommendations Using a Hybrid Filtering Algorithm to Enhance User Relevance and Engagement
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1779096openalex-snapshot
Scalable multi-metric association rule learning for explainable book recommendations
inferred← citeshttps://doi.org/10.3390/electronics15040763openalex-snapshot
Recommender Systems: Emerging Trends from Four Decades of Research Using Bibliometric Analysis and Transformer-Based Models
inferred← citeshttps://doi.org/10.3390/electronics15153483openalex-snapshot
Causal Benefit-Aware Recommendation for Personalized Learning-Path Features: A Targeting-Policy Framework with Provable Guarantees and Randomized Evaluation
inferred← citeshttps://doi.org/10.3390/electronics15194389openalex-snapshot
Interaction-Specific Diffusion Scheduling Guided by Temporal Priors for Sequential Recommendation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.