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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 301–350 of 554 papers

TitleStatusHype
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation—0
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation—0
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation—0
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework—0
Towards commands recommender system in BIM authoring tool using transformers—0
Scaling Law of Large Sequential Recommendation Models—0
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation—0
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search—0
Extracting Attentive Social Temporal Excitation for Sequential Recommendation—0
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
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
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