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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 26–50 of 554 papers

TitleStatusHype
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureCode1
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-SharingCode1
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and EvaluationsCode1
CT4Rec: Simple yet Effective Consistency Training for Sequential RecommendationCode1
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersCode1
DiffuRec: A Diffusion Model for Sequential RecommendationCode1
Adversarial and Contrastive Variational Autoencoder for Sequential RecommendationCode1
Advances in Collaborative Filtering and RankingCode1
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
Contrastive Learning for Sequential RecommendationCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest SustainabilityCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
A Self-Correcting Sequential RecommenderCode1
A Survey on Cross-Domain Sequential RecommendationCode1
A Contextual-Aware Position Encoding for Sequential RecommendationCode1
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationCode1
A Generic Network Compression Framework for Sequential Recommender SystemsCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
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