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Sequential Recommendation

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하위 태스크: 0
평가표: 13
보존된 평가 기록: 20

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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/wanyuchen/idsr

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Improving End-to-End Sequential Recommendations with Intent-aware Diversification

https://github.com/0xeeff/amnesiac_recsys

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Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items

https://github.com/623851394/htp

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HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation

https://github.com/777pomingzi/rethinking-plm-in-rs

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The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation

https://github.com/ACVAE/ACVAE-PyTorch

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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

https://github.com/AIM-SE/DIF-SR

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Decoupled Side Information Fusion for Sequential Recommendation

https://github.com/AIRI-Institute/Scalable-SASRec

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Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs

https://github.com/Applied-Machine-Learning-Lab/LinRec

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LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

https://github.com/Applied-Machine-Learning-Lab/SIMGA

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SIGMA: Selective Gated Mamba for Sequential Recommendation

https://github.com/BoPeng112/HAM

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HAM: Hybrid Associations Models for Sequential Recommendation

https://github.com/DanialTaheri/KATRec

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KATRec: Knowledge Aware aTtentive Sequential Recommendations

https://github.com/DyGRec/ASReP

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Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

https://github.com/DyGRec/DT4SR

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Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation

https://github.com/FeiSun/BERT4Rec

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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

https://github.com/HITsz-TMG/RaSeRec

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RaSeRec: Retrieval-Augmented Sequential Recommendation

https://github.com/HelloZicky/DUET

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DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

https://github.com/JinyuZ1996/EA-GPS

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Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation

https://github.com/JinyuZ1996/LightGC2N

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Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation

https://github.com/JinyuZ1996/RL-ISN

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Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

https://github.com/JinyuZ1996/TiDA-GCN

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Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation

https://github.com/Linxi000/UniRec

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UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations

https://github.com/RUCAIBox/CIKM2020-S3Rec

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S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

https://github.com/RUCAIBox/RecBole

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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

https://github.com/ReyonRen/MFGAN

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Sequential Recommendation with Self-Attentive Multi-Adversarial Network

https://github.com/RuihongQiu/DuoRec

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Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation

https://github.com/RuihongQiu/MMInfoRec

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Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation

https://github.com/RuihongQiu/OverRec

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Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation

https://github.com/SStarCCat/HM4SR

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Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation

https://github.com/SungMinCho/MEANTIME

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MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation

https://github.com/THUDM/ComiRec

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Controllable Multi-Interest Framework for Recommendation

https://github.com/THUIR/ZhihuRec-Dataset

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A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing

https://github.com/XiaoWei-i/SS4Rec

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SS4Rec: Continuous-Time Sequential Recommendation with State Space Models

https://github.com/XiaoZHOUCAM/TEMN

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Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

https://github.com/YChen1993/ELECRec

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ELECRec: Training Sequential Recommenders as Discriminators

https://github.com/Yaveng/Oracle4Rec

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Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation

https://github.com/YujieLu10/FATrec

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Future-Aware Diverse Trends Framework for Recommendation

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