SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 554 papers

TitleStatusHype
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
Filter-enhanced MLP is All You Need for Sequential RecommendationCode1
FineRec:Exploring Fine-grained Sequential RecommendationCode1
Flow Matching based Sequential Recommender ModelCode1
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential RecommendationCode1
Future-Aware Diverse Trends Framework for RecommendationCode1
Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionCode1
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential RecommendationCode1
Harnessing Large Language Models for Text-Rich Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationCode1
Intent-aware Diffusion with Contrastive Learning for Sequential RecommendationCode1
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-AttentionCode1
Effective and Efficient Training for Sequential Recommendation using Recency SamplingCode1
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationCode1
CT4Rec: Simple yet Effective Consistency Training for Sequential RecommendationCode1
Mixed Attention Network for Cross-domain Sequential RecommendationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Dynamic Memory based Attention Network for Sequential RecommendationCode1
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential RecommendationCode1
Online Distillation-enhanced Multi-modal Transformer for Sequential RecommendationCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language ModelsCode1
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k RecommendationCode1
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information MaximizationCode1
Show:102550
← PrevPage 7 of 23Next →

No leaderboard results yet.