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Sequential Recommendation

Sequential recommendation is a sophisticated approach to providing personalized suggestions by analyzing users' historical interactions in a sequential manner. Unlike traditional recommendation systems, which consider items in isolation, sequential recommendation takes into account the temporal order of user actions. This method is particularly valuable in domains where the sequence of events matters, such as streaming services, e-commerce platforms, and social media.

Papers

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Showing 451–500 of 554 papers

TitleStatusHype
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation—0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings—0
Farzi Data: Autoregressive Data Distillation—0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation—0
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services—0
Few-shot Model Extraction Attacks against Sequential Recommender Systems—0
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach—0
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform—0
Self-supervised Learning for Sequential Recommendation with Model Augmentation—0
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation—0
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation—0
Self-Supervised Reinforcement Learning for Recommender Systems—0
Freudian and Newtonian Recurrent Cell for Sequential Recommendation—0
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation—0
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation—0
Generating Negative Samples for Sequential Recommendation—0
Generative Diffusion Models for Sequential Recommendations—0
Generative Sequential Recommendation with GPTRec—0
GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training—0
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation—0
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems—0
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation—0
GOT4Rec: Graph of Thoughts for Sequential Recommendation—0
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation—0
Seq2seq Translation Model for Sequential Recommendation—0
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer—0
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation—0
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks—0
Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation—0
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation—0
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation—0
Sequential Movie Genre Prediction using Average Transition Probability with Clustering—0
HMamba: Hyperbolic Mamba for Sequential Recommendation—0
ID-Agnostic User Behavior Pre-training for Sequential Recommendation—0
ID-centric Pre-training for Recommendation—0
Intelligent Model Update Strategy for Sequential Recommendation—0
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation—0
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training—0
Image Fusion for Cross-Domain Sequential Recommendation—0
Improve Temporal Awareness of LLMs for Sequential Recommendation—0
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation—0
Improving Micro-video Recommendation by Controlling Position Bias—0
Improving Sequential Recommendation Consistency with Self-Supervised Imitation—0
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation—0
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks—0
Improving Transformer-based Sequential Recommenders through Preference Editing—0
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation—0
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation—0
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
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