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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 51–75 of 554 papers

TitleStatusHype
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Harnessing Multimodal Large Language Models for Multimodal Sequential RecommendationCode1
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential RecommendationCode1
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential RecommendationsCode1
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
SLMRec: Distilling Large Language Models into Small for Sequential RecommendationCode1
RecGPT: Generative Pre-training for Text-based RecommendationCode1
Modeling User Fatigue for Sequential RecommendationCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
FineRec:Exploring Fine-grained Sequential RecommendationCode1
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential RecommendationCode1
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFTCode1
Sequential Recommendation with Latent Relations based on Large Language ModelCode1
An Empirical Study of Training ID-Agnostic Multi-modal Sequential RecommendersCode1
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Harnessing Large Language Models for Text-Rich Sequential RecommendationCode1
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential RecommendationCode1
Repeated Padding for Sequential RecommendationCode1
SSDRec: Self-Augmented Sequence Denoising for Sequential RecommendationCode1
Sequence-level Semantic Representation Fusion for Recommender SystemsCode1
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential RecommendationCode1
A Survey on Cross-Domain Sequential RecommendationCode1
Plug-in Diffusion Model for Sequential RecommendationCode1
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