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MBN: Towards Multi-Behavior Sequence Modeling for Next Basket 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/icde.2019.00140openalex-snapshot
Neural Multi-task Recommendation from Multi-behavior Data
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00144openalex-snapshot
Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention
inferredcites →https://doi.org/10.1109/tkde.2017.2661760openalex-snapshot
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model
inferredcites →https://doi.org/10.1109/tkde.2018.2872587openalex-snapshot
Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences
inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot
Relational learning via collective matrix factorization
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2124295.2124317openalex-snapshot
Multi-relational matrix factorization using bayesian personalized ranking for social network data
inferredcites →https://doi.org/10.1145/2736277.2741656openalex-snapshot
Improving User Topic Interest Profiles by Behavior Factorization
inferredcites →https://doi.org/10.1145/2766462.2767694openalex-snapshot
Learning Hierarchical Representation Model for NextBasket Recommendation
inferredcites →https://doi.org/10.1145/2911451.2914683openalex-snapshot
A Dynamic Recurrent Model for Next Basket Recommendation
inferredcites →https://doi.org/10.1145/2959100.2959163openalex-snapshot
Bayesian Personalized Ranking with Multi-Channel User Feedback
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3159652.3159668openalex-snapshot
Sequential Recommendation with User Memory Networks
inferredcites →https://doi.org/10.1145/3184558.3186905openalex-snapshot
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
inferredcites →https://doi.org/10.1145/3209978.3210129openalex-snapshot
An Attribute-aware Neural Attentive Model for Next Basket Recommendation
inferredcites →https://doi.org/10.1145/3219819.3220014openalex-snapshot
Learning from History and Present
inferredcites →https://doi.org/10.1145/3240323.3240369openalex-snapshot
Item recommendation on monotonic behavior chains
inferredcites →https://doi.org/10.1145/3336191.3371827openalex-snapshot
Hierarchical User Profiling for E-commerce Recommender Systems
inferredcites →https://doi.org/10.1145/3340531.3412119openalex-snapshot
Multiplex Graph Neural Networks for Multi-behavior Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401066openalex-snapshot
Modeling Personalized Item Frequency Information for Next-basket Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401072openalex-snapshot
Multi-behavior Recommendation with Graph Convolutional Networks
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/10.1145/3447395openalex-snapshot
Dual-Embedding based Deep Latent Factor Models for Recommendation
inferredcites →https://doi.org/10.1145/502512.502543openalex-snapshot
Mining massively incomplete data sets by conceptual reconstruction
inferredcites →https://doi.org/10.18653/v1/p16-1154openalex-snapshot
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
inferredcites →https://doi.org/10.18653/v1/p17-1019openalex-snapshot
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
inferredcites →https://doi.org/10.24963/ijcai.2018/462openalex-snapshot
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/883openalex-snapshot
Sequential Recommender Systems: Challenges, Progress and Prospects
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.5555/1248547.1248548openalex-snapshot
Statistical Comparisons of Classifiers over Multiple Data Sets
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-6599-0_10openalex-snapshot
AMMCR: Adaptive Multi-view Multi-behavior Contrastive Learning Recommendation
inferred← citeshttps://doi.org/10.1007/s10489-025-06796-5openalex-snapshot
DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction
inferred← citeshttps://doi.org/10.1007/s11227-025-07417-1openalex-snapshot
PIFTA4Rec: leveraging personalized item frequency and temporal attention for enhanced next-basket recommendation
inferred← citeshttps://doi.org/10.1007/s11227-025-07483-5openalex-snapshot
Multi-perspective temporal information fusion perception for next basket recommendation
inferred← citeshttps://doi.org/10.1007/s40747-024-01423-1openalex-snapshot
Multi-behavior collaborative contrastive learning for sequential recommendation
inferred← citeshttps://doi.org/10.1007/s40747-024-01778-5openalex-snapshot
DMR: disentangled and denoised learning for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119126openalex-snapshot
Multi-scale modeling temporal hierarchical attention for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.is.2024.102407openalex-snapshot
MBDL: Exploring dynamic dependency among various types of behaviors for recommendation
inferred← citeshttps://doi.org/10.1016/j.jretai.2025.08.002openalex-snapshot
Multicategory purchase behavior: basket choice, shopping frequency, and promotional analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111841openalex-snapshot
Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115601openalex-snapshot
Discriminative cross-domain convolutional learning model for next basket recommender systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129076openalex-snapshot
A user behavior-aware multi-task learning model for enhanced short video recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106675openalex-snapshot
Knowledge-reinforced explainable next basket recommendation
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402410openalex-snapshot
User-Aware Denoising Sequential Model for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032359openalex-snapshot
A Systematical Evaluation for Next-Basket Recommendation Algorithms
inferred← citeshttps://doi.org/10.1109/eit60633.2024.10609841openalex-snapshot
Practical Challenges and Methodologies in Next Basket Recommendation (NBR)
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095063openalex-snapshot
Multi-Aspect Interest Neighbor-Augmented Network for Next-Basket Recommendation
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00064openalex-snapshot
MCRec: Multi-channel Gated Gifts Recommendation
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00238openalex-snapshot
Personalized Multi-Behavior Sequential Recommendation with Temporal-Aware Contrastive Learning and Self-Attention
inferred← citeshttps://doi.org/10.1109/tifs.2024.3516584openalex-snapshot
Entire Space Counterfactual Learning for Reliable Content Recommendations
inferred← citeshttps://doi.org/10.1109/tkde.2025.3544081openalex-snapshot
Dual-Channel Multiplex Graph Neural Networks for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3630571openalex-snapshot
A3BRec: A Novel Association-Integration Sequential Basket Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591706openalex-snapshot
Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591738openalex-snapshot
Multi-view Multi-aspect Neural Networks for Next-basket Recommendation
inferred← citeshttps://doi.org/10.1145/3564609openalex-snapshot
Trip Reinforcement Recommendation with Graph-based Representation Learning
inferred← citeshttps://doi.org/10.1145/3587099openalex-snapshot
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions
inferred← citeshttps://doi.org/10.1145/3718100openalex-snapshot
Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation
inferred← citeshttps://doi.org/10.1145/3742793openalex-snapshot
Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation
inferred← citeshttps://doi.org/10.1145/3745023openalex-snapshot
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3769471openalex-snapshot
Beyond Trade-offs: Leveraging Spatiotemporal Heterogeneity of User Preference for Long-term Fairness and Accuracy in Interactive Recommendation
inferred← citeshttps://doi.org/10.1145/3773966.3777974openalex-snapshot
DiffNBR: Spatio-Temporal Diffusion with Information Bottleneck for Next-Basket Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809615openalex-snapshot
Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
inferred← citeshttps://doi.org/10.1609/aaai.v37i4.25537openalex-snapshot
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
inferred← citeshttps://doi.org/10.24963/ijcai.2023/268openalex-snapshot
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
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