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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 151–200 of 554 papers

TitleStatusHype
Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation—0
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential RecommendationCode0
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity—0
Semantic Codebook Learning for Dynamic Recommendation Models—0
GenRec: Generative Sequential Recommendation with Large Language ModelsCode0
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework—0
MaTrRec: Uniting Mamba and Transformer for Sequential RecommendationCode0
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation—0
Denoising Long- and Short-term Interests for Sequential Recommendation—0
MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation—0
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential RecommendationCode1
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential RecommendationCode0
Preference Distillation for Personalized Generative RecommendationCode0
Learning Positional Attention for Sequential RecommendationCode0
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential RecommendationsCode1
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
Behavior-Dependent Linear Recurrent Units for Efficient Sequential RecommendationCode0
DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential RecommendationCode0
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation—0
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender SystemCode0
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems—0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
Your Causal Self-Attentive Recommender Hosts a Lonely NeighborhoodCode0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Towards commands recommender system in BIM authoring tool using transformers—0
A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation—0
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation—0
SelfGNN: Self-Supervised Graph Neural Networks for Sequential RecommendationCode2
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential RecommendationCode2
Attention-based sequential recommendation system using multimodal data—0
SLMRec: Distilling Large Language Models into Small for Sequential RecommendationCode1
Dataset Regeneration for Sequential RecommendationCode2
Multi-Behavior Generative RecommendationCode2
Look into the Future: Deep Contextualized Sequential Recommendation—0
RecGPT: Generative Pre-training for Text-based RecommendationCode1
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation—0
Modeling User Fatigue for Sequential RecommendationCode1
Positional encoding is not the same as context: A study on positional encoding for sequential recommendationCode0
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
ID-centric Pre-training for Recommendation—0
Improve Temporal Awareness of LLMs for Sequential Recommendation—0
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement—0
TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal ContentCode0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential RecommendationCode0
FineRec:Exploring Fine-grained Sequential RecommendationCode1
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential RecommendationCode1
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model—0
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