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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 301–325 of 554 papers

TitleStatusHype
Knowledge Prompt-tuning for Sequential RecommendationCode1
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative SamplingCode1
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
SSLRec: A Self-Supervised Learning Framework for RecommendationCode2
Online Distillation-enhanced Multi-modal Transformer for Sequential RecommendationCode1
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential RecommendationCode0
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation—0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation—0
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning—0
HTP: Exploiting Holistic Temporal Patterns for Sequential RecommendationCode0
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation—0
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation—0
Reciprocal Sequential RecommendationCode1
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer—0
Sequential Recommendation with Controllable Diversification: Representation Degeneration and DiversityCode0
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender SystemsCode2
Generative Sequential Recommendation with GPTRec—0
Neighborhood-based Hard Negative Mining for Sequential RecommendationCode0
Efficient Failure Pattern Identification of Predictive AlgorithmsCode1
TransAct: Transformer-based Realtime User Action Model for Recommendation at PinterestCode1
Robust Reinforcement Learning Objectives for Sequential Recommender SystemsCode0
TriMLP: Revenge of a MLP-like Architecture in Sequential RecommendationCode0
Text Is All You Need: Learning Language Representations for Sequential RecommendationCode1
When Search Meets Recommendation: Learning Disentangled Search Representation for RecommendationCode1
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