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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 101–150 of 554 papers

TitleStatusHype
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation—0
SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item SimilarityCode1
Dual Conditional Diffusion Models for Sequential Recommendation—0
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation—0
Pay Attention to Attention for Sequential Recommendation—0
Generative Diffusion Models for Sequential Recommendations—0
Cross-Domain Sequential Recommendation via Neural Process—0
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation—0
Preference Diffusion for RecommendationCode1
Intent-Enhanced Data Augmentation for Sequential Recommendation—0
Multi-Behavioral Sequential RecommendationCode1
Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation ModelsCode1
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services—0
Multimodal Point-of-Interest Recommendation—0
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential RecommendationCode2
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential RecommendationCode0
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item CatalogsCode1
Autoregressive Generation Strategies for Top-K Sequential Recommendations—0
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal RecommendationCode1
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality ModelCode1
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation—0
Data Augmentation for Sequential Recommendation: A SurveyCode3
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User ModelingCode4
Measuring Recency Bias In Sequential Recommendation Systems—0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive LearningCode0
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential RecommendationCode0
Generative Recommender with End-to-End Learnable Item TokenizationCode1
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings—0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information—0
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential RecommendationCode1
MARS: Matching Attribute-aware Representations for Text-based Sequential RecommendationCode1
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models—0
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session RecommendationCode1
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item PredictionCode0
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential RecommendersCode0
CSRec: Rethinking Sequential Recommendation from A Causal PerspectiveCode0
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models—0
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation—0
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items—0
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Harnessing Multimodal Large Language Models for Multimodal Sequential RecommendationCode1
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation—0
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation—0
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation—0
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