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Learning a Hierarchical Intent Model for Next-Item Recommendation

https://doi.org/10.1145/3473972
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-34223-4_17openalex-snapshot
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback
inferredcites →https://doi.org/10.1007/978-3-642-29035-0_4openalex-snapshot
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining
inferredcites →https://doi.org/10.1007/s00778-013-0331-0openalex-snapshot
Personalized trajectory matching in spatial networks
inferredcites →https://doi.org/10.1007/s11280-018-0596-8openalex-snapshot
Time-aware metric embedding with asymmetric projection for successive POI recommendation
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/mci.2018.2840738openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
inferredcites →https://doi.org/10.1109/tsmc.2017.2665038openalex-snapshot
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2020408.2020579openalex-snapshot
Friendship and mobility
inferredcites →https://doi.org/10.1145/2556195.2556236openalex-snapshot
Taxonomy discovery for personalized recommendation
inferredcites →https://doi.org/10.1145/2766462.2767694openalex-snapshot
Learning Hierarchical Representation Model for NextBasket Recommendation
inferredcites →https://doi.org/10.1145/2872427.2883037openalex-snapshot
Ups and Downs
inferredcites →https://doi.org/10.1145/3018661.3018689openalex-snapshot
Recurrent Recommender Networks
inferredcites →https://doi.org/10.1145/3019612.3019763openalex-snapshot
Learning hierarchical category influence on both users and items for effective recommendation
inferredcites →https://doi.org/10.1145/3159652.3159668openalex-snapshot
Sequential Recommendation with User Memory Networks
inferredcites →https://doi.org/10.1145/3178876.3186066openalex-snapshot
TEM
inferredcites →https://doi.org/10.1145/3209978.3209991openalex-snapshot
Collaborative Memory Network for Recommendation Systems
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3219819.3220014openalex-snapshot
Learning from History and Present
inferredcites →https://doi.org/10.1145/3289600.3290972openalex-snapshot
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330839openalex-snapshot
Streaming Session-based Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330984openalex-snapshot
Hierarchical Gating Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3308558.3313408openalex-snapshot
Recurrent Convolutional Neural Network for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371840openalex-snapshot
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation
inferredcites →https://doi.org/10.1145/3354187openalex-snapshot
Next and Next New POI Recommendation via Latent Behavior Pattern Inference
inferredcites →https://doi.org/10.1145/3366172openalex-snapshot
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013830openalex-snapshot
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014304openalex-snapshot
Non-Compensatory Psychological Models for Recommender Systems
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015973openalex-snapshot
DAN: Deep Attention Neural Network for News Recommendation
inferredcites →https://doi.org/10.18653/v1/d16-1147openalex-snapshot
Key-Value Memory Networks for Directly Reading Documents

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-93976-1_11openalex-snapshot
A Design of Sensible Generative Artificial Intelligence System to Understand User Intent
inferred← citeshttps://doi.org/10.1007/978-981-99-2385-4_2openalex-snapshot
Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation
inferred← citeshttps://doi.org/10.1007/s40747-024-01629-3openalex-snapshot
Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121403openalex-snapshot
TIEN: Temporal interest-aware evolution model for “Next Item Recommendation”
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121773openalex-snapshot
Target-driven user preference transferring recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103636openalex-snapshot
An adaptive category-aware recommender based on dual knowledge graphs
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109204openalex-snapshot
Time enhanced graph neural networks for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109936openalex-snapshot
Learning aspect-level complementarity for intent-aware complementary recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110284openalex-snapshot
Multi-perspective enhanced representation for effective session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112693openalex-snapshot
Collaborative association networks with cross-level attention for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113328openalex-snapshot
User disambiguation learning for precise shared-account marketing: A hierarchical self-attentive sequential recommendation method
inferred← citeshttps://doi.org/10.1109/icaace65325.2025.11019724openalex-snapshot
A Fairness-Aware Recommender System Based on Genetic Algorithms for User, Provider and Platform Optimization
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00099openalex-snapshot
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00123openalex-snapshot
Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation
inferred← citeshttps://doi.org/10.1145/3532192openalex-snapshot
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation
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/10.1145/3593022openalex-snapshot
Causal Disentangled Recommendation against User Preference Shifts
inferred← citeshttps://doi.org/10.1145/3700890openalex-snapshot
A Survey on Intent-aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3743093.3770943openalex-snapshot
Multi-Task Learning with Adaptive Fusion for Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.23919/jsc.2023.0013openalex-snapshot
Enhancing Next-Item Recommendation Through Adaptive User Group Modeling
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