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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
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
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation—0
Preference Distillation for Personalized Generative RecommendationCode0
Learning Positional Attention for Sequential RecommendationCode0
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
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Your Causal Self-Attentive Recommender Hosts a Lonely NeighborhoodCode0
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
Attention-based sequential recommendation system using multimodal data—0
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