Awesome Sequential & Session

Key papers

• Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders (2024)
  Yupeng Hou et al.
  11.11
• Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation (2025)
  Jiakai Tang et al.
  10.63
• A Survey on Multi-Behavior Sequential Recommendation (2023)
  Xiaoqing Chen et al.
  9.14
• Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising (2025)
  Xiaoxi Cui et al.
  8.86
• RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders (2025)
  Zhongheng Yang et al.
  8.10
• MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation (2024)
  Jinzhao Su and Zhenhua Huang
  7.88
• LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation (2025)
  Wangyu Wu et al.
  7.72
• Image Fusion for Cross-Domain Sequential Recommendation (2025)
  Wangyu Wu et al.
  7.64
• Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders (2025)
  Danil Gusak et al.
  7.63
• AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings (2025)
  Guoqing Hu et al.
  7.46
• Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions (2023)
  Timo Wilm et al.
  7.38
• Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation (2025)
  Changshuo Zhang et al.
  7.13
• AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems (2025)
  Yu Shang et al.
  6.80
• ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation (2025)
  Qingtian Bian et al.
  6.58
• Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems (2025)
  Wei Xu et al.
  6.56
• RecoWorld: Building Simulated Environments for Agentic Recommender Systems (2025)
  Fei Liu et al.
  6.56
• Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection (2025)
  Zhikai Wang et al.
  6.53
• Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation (2025)
  Jinpeng Chen et al.
  6.45
• Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation (2025)
  Ziqiang Cui et al.
  6.23
• Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation (2025)
  Yongfu Zha et al.
  6.23
• Enhancing User Intent for Recommendation Systems via Large Language Models (2025)
  Xiaochuan Xu et al.
  6.12
• Rethinking Contrastive Learning in Session-based Recommendation (2025)
  Xiaokun Zhang et al.
  6.12
• PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching (2025)
  Haotong Du et al.
  6.12
• Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model (2025)
  Yu Xia et al.
  6.07
• Pctx: Tokenizing Personalized Context for Generative Recommendation (2025)
  Qiyong Zhong et al.
  6.04
• Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation (2025)
  Qidong Liu et al.
  6.01
• Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation (2025)
  Enze Liu et al.
  5.96
• Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching (2025)
  Yihan Wang et al.
  5.90
• Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation (2025)
  Jinkun Han et al.
  5.84
• Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks (2025)
  Hongye Zheng et al.
  5.76
• A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective (2025)
  Xiaokun Zhang et al.
  5.76
• Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach (2025)
  Jialei Chen et al.
  5.76
• MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs (2025)
  Jiani Huang et al.
  5.68
• Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts (2025)
  Qiushi Pan et al.
  5.68
• Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation (2024)
  Sichun Luo et al.
  5.63
• Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation (2025)
  Jinyu Zhang et al.
  5.59
• Large Language Model driven Policy Exploration for Recommender Systems (2025)
  Jie Wang et al.
  5.54
• Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation (2025)
  Shengzhe Zhang et al.
  5.54
• Continual Recommender Systems (2025)
  Hyunsik Yoo et al.
  5.52
• Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search (2026)
  Sidhaarth Murali et al.
  5.49
• Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions (2025)
  Kowei Shih et al.
  5.35
• Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation (2025)
  Yuanpeng Qu and Hajime Nobuhara
  5.35
• Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-Head Decoding (2025)
  Yunkai Zhang et al.
  5.32
• HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation (2025)
  Jingyi Zhou et al.
  5.26
• Continual Low-Rank Adapters for LLM-based Generative Recommender Systems (2025)
  Hyunsik Yoo et al.
  5.26
• A Contextual-Aware Position Encoding for Sequential Recommendation (2025)
  Jun Yuan and Guohao Cai and Zhenhua Dong
  5.24
• Capturing User Interests from Data Streams for Continual Sequential Recommendation (2025)
  Gyuseok Lee et al.
  5.04
• On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies (2026)
  Sunwoo Kim et al.
  5.01
• Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators (2026)
  Jiyuan Yang et al.
  5.01
• Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems (2025)
  Song Jin et al.
  4.98
• Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits (2025)
  Maoli Liu et al.
  4.98
• DeGRe: Dense-supervised Generative Reranking for Recommendation (2026)
  Chaotian Song et al.
  4.95
• OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning (2025)
  Anirudhan Badrinath et al.
  4.93
• HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation (2025)
  Hao Deng et al.
  4.87
• Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems (2024)
  Timo Wilm et al.
  4.85
• TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation (2025)
  Zhaoxing Li et al.
  4.82
• Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation (2025)
  Yuanna Liu et al.
  4.76
• Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer (2025)
  Chongming Gao et al.
  4.76
• Value Function Decomposition in Markov Recommendation Process (2025)
  Xiaobei Wang et al.
  4.76
• DiffGRM: Diffusion-based Generative Recommendation Model (2025)
  Zhao Liu et al.
  4.75