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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 401–450 of 554 papers

TitleStatusHype
Sequential Search with Off-Policy Reinforcement Learning—0
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective—0
Similarity-Guided Diffusion for Contrastive Sequential Recommendation—0
Measuring Recency Bias In Sequential Recommendation Systems—0
Transferable Sequential Recommendation via Vector Quantized Meta Learning—0
Memory efficient location recommendation through proximity-aware representation—0
Slow Thinking for Sequential Recommendation—0
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation—0
TRec: Sequential Recommender Based On Latent Item Trend Information—0
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation—0
MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation—0
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation—0
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation—0
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation—0
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation—0
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation—0
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation—0
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation—0
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation—0
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation—0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Multi-level Contrastive Learning Framework for Sequential Recommendation—0
Multimodal Difference Learning for Sequential Recommendation—0
Multimodal Point-of-Interest Recommendation—0
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning—0
Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model—0
Multi-Tower Multi-Interest Recommendation with User Representation Repel—0
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation—0
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation—0
NxtPost: User to Post Recommendations in Facebook Groups—0
Offline Adaptive Policy Leaning in Real-World Sequential Recommendation Systems—0
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems—0
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information—0
On Modeling Long-Term User Engagement from Stochastic Feedback—0
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models—0
Superposition-Assisted Stochastic Optimization for Hawkes Processes—0
Supervised Advantage Actor-Critic for Recommender Systems—0
PALR: Personalization Aware LLMs for Recommendation—0
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations—0
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation—0
Pattern-wise Transparent Sequential Recommendation—0
Pay Attention to Attention for Sequential Recommendation—0
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making—0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
Equivariant Contrastive Learning for Sequential RecommendationCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
Symmetry Structured Convolutional Neural NetworksCode0
Sequential Recommendation with Probabilistic Logical ReasoningCode0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive LearningCode0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
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