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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 76–100 of 554 papers

TitleStatusHype
Multimodal Difference Learning for Sequential Recommendation—0
Preference Discerning with LLM-Enhanced Generative Retrieval—0
Scaling Sequential Recommendation Models with TransformersCode1
Temporal Linear Item-Item Model for Sequential RecommendationCode1
PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information—0
ULMRec: User-centric Large Language Model for Sequential Recommendation—0
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language ModelsCode1
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function—0
Oracle-guided Dynamic User Preference Modeling for Sequential RecommendationCode1
Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy—0
Unifying Generative and Dense Retrieval for Sequential Recommendation—0
Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation—0
GOT4Rec: Graph of Thoughts for Sequential Recommendation—0
Data Watermarking for Sequential Recommender SystemsCode0
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential RecommendationCode0
Item Association Factorization Mixed Markov Chains for Sequential Recommendation—0
Few-shot Model Extraction Attacks against Sequential Recommender Systems—0
Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation—0
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation—0
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation—0
Transferable Sequential Recommendation via Vector Quantized Meta Learning—0
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender SystemsCode1
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation—0
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks—0
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model—0
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