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Exploiting Positional Information for Session-Based 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/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1007/s10032-020-00360-2openalex-snapshot
Translating math formula images to LaTeX sequences using deep neural networks with sequence-level training
inferredcites →https://doi.org/10.1007/s10618-015-0417-yopenalex-snapshot
General factorization framework for context-aware recommendations
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.016openalex-snapshot
Position-aware context attention for session-based recommendation
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00281openalex-snapshot
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
inferredcites →https://doi.org/10.1109/iccv.2019.00338openalex-snapshot
Attention Augmented Convolutional Networks
inferredcites →https://doi.org/10.1109/icde48307.2020.00125openalex-snapshot
Sequence-Aware Factorization Machines for Temporal Predictive Analytics
inferredcites →https://doi.org/10.1109/icdew.2019.00-14openalex-snapshot
Context-Aware Attention-Based Data Augmentation for POI Recommendation
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2988450.2988452openalex-snapshot
Improved Recurrent Neural Networks for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3072606openalex-snapshot
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering
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/10.1145/3159652.3159688openalex-snapshot
Discrete Deep Learning for Fast Content-Aware Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159727openalex-snapshot
Latent Cross
inferredcites →https://doi.org/10.1145/3219819.3219950openalex-snapshot
STAMP
inferredcites →https://doi.org/10.1145/3231933openalex-snapshot
Personalized Context-Aware Point of Interest Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271761openalex-snapshot
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3292500.3330839openalex-snapshot
Streaming Session-based Recommendation
inferredcites →https://doi.org/10.1145/3295499openalex-snapshot
Spatiotemporal Representation Learning for Translation-Based POI Recommendation
inferredcites →https://doi.org/10.1145/3326937.3341261openalex-snapshot
Behavior sequence transformer for e-commerce recommendation in Alibaba
inferredcites →https://doi.org/10.1145/3357384.3357895openalex-snapshot
BERT4Rec
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/10.1145/3357384.3358050openalex-snapshot
What Can History Tell Us?
inferredcites →https://doi.org/10.1145/3366423.3380077openalex-snapshot
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
inferredcites →https://doi.org/10.1145/3382764openalex-snapshot
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401109openalex-snapshot
GAG
inferredcites →https://doi.org/10.1145/3426723openalex-snapshot
Deep Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3432244openalex-snapshot
Toward Dynamic User Intention
inferredcites →https://doi.org/10.1145/3450352openalex-snapshot
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
inferredcites →https://doi.org/10.1145/3535335openalex-snapshot
On sampled metrics for item recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/n18-2074openalex-snapshot
Self-Attention with Relative Position Representations
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.24963/ijcai.2019/547openalex-snapshot
Graph Contextualized Self-Attention Network for Session-based Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2021/206openalex-snapshot
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.4230/lipics.ecrts.2023.7openalex-snapshot
Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1301.2320openalex-snapshot
Using Temporal Data for Making Recommendations
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1904.06690openalex-snapshot
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
inferredcites →https://doi.org/10.48550/arxiv.1905.01997openalex-snapshot
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_33openalex-snapshot
Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views
inferred← citeshttps://doi.org/10.1007/s10115-023-02058-3openalex-snapshot
Session-based recommendation with fusion of hypergraph item global and context features
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116430openalex-snapshot
Mamba-enhanced asymmetric contrastive graph-sequence learning for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114131openalex-snapshot
Dimos: Diffusion model with unified sequential state space for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115287openalex-snapshot
Enhancing temporal matrix factorization by capturing dynamic user preferences and correcting opinion bias
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119875openalex-snapshot
Session-based recommendation with hypergraph convolutional networks and sequential information embeddings
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124714openalex-snapshot
CARE: Context-aware attention interest redistribution for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127732openalex-snapshot
Coformer for session-based recommendation with dual positional information
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104196openalex-snapshot
Collaborative local–global context modeling for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111001openalex-snapshot
Semantic-enhanced Contrastive Learning for Session-based Recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111013openalex-snapshot
Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112661openalex-snapshot
CGG: Category-aware global graph contrastive learning for session-based recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3545243openalex-snapshot
Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation
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/icdm54844.2022.00053openalex-snapshot
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3193028openalex-snapshot
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
inferred← citeshttps://doi.org/10.1109/tcyb.2024.3398692openalex-snapshot
Pretrained Quantum-Inspired Deep Neural Network for Natural Language Processing
inferred← citeshttps://doi.org/10.1109/tkde.2024.3421594openalex-snapshot
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2025.3569549openalex-snapshot
A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective
inferred← citeshttps://doi.org/10.1145/3459637.3482448openalex-snapshot
Lightweight Self-Attentive Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3477495.3531910openalex-snapshot
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3488560.3498433openalex-snapshot
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3523227.3546785openalex-snapshot
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
inferred← citeshttps://doi.org/10.1145/3580305.3599274openalex-snapshot
Classification of Edge-dependent Labels of Nodes in Hypergraphs
inferred← citeshttps://doi.org/10.1145/3582495openalex-snapshot
Enhancing Multi-View Smoothness for Sequential Recommendation Models
inferred← citeshttps://doi.org/10.1145/3604436openalex-snapshot
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling
inferred← citeshttps://doi.org/10.1145/3604915.3608830openalex-snapshot
Incorporating Time in Sequential Recommendation Models
inferred← citeshttps://doi.org/10.1145/3625403.3625418openalex-snapshot
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3657693openalex-snapshot
CaseLink: Inductive Graph Learning for Legal Case Retrieval
inferred← citeshttps://doi.org/10.1145/3627673.3679681openalex-snapshot
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection
inferred← citeshttps://doi.org/10.1145/3631940openalex-snapshot
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation
inferred← citeshttps://doi.org/10.1145/3663760openalex-snapshot
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation
inferred← citeshttps://doi.org/10.1145/3727645openalex-snapshot
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation
inferred← citeshttps://doi.org/10.1186/s40537-025-01184-9openalex-snapshot
Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.16openalex-snapshot
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
inferred← citeshttps://doi.org/10.3390/informatics12030079openalex-snapshot
CAMBSRec: A Context-Aware Multi-Behavior Sequential Recommendation Model
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