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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://github.com/haoge6660101/DELRec_hao

공식 코드

DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation

https://github.com/happypointer/llm2rec

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LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation

https://github.com/hchchchchchchc/MGPT

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Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation

https://github.com/hello-dx/pomrec

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Prompt-based Multi-interest Learning Method for Sequential Recommendation

https://github.com/hestiasky/e4srec

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E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation

https://github.com/hi-weiyuan/PTF-FSR

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PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System

https://github.com/hkuds/dcrec

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Debiased Contrastive Learning for Sequential Recommendation

https://github.com/hkuds/gmrec

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Graph Masked Autoencoder for Sequential Recommendation

https://github.com/hkuds/maerec

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Graph Masked Autoencoder for Sequential Recommendation

https://github.com/hkuds/recgpt

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RecGPT: A Foundation Model for Sequential Recommendation

https://github.com/hkuds/selfgnn

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SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation

https://github.com/hkuds/sslrec

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SSLRec: A Self-Supervised Learning Framework for Recommendation

https://github.com/holdenhu/mmsr

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Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems

https://github.com/houpingy/ea-gcl

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Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation

https://github.com/huanhuaneryuan/sr-plr

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Sequential Recommendation with Probabilistic Logical Reasoning

https://github.com/hugo-chinn/alphafuse

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AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings

https://github.com/hulkima/pdrec

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Plug-in Diffusion Model for Sequential Recommendation

https://github.com/hw-du/cbit

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Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

https://github.com/hw-du/emkd

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Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation

https://github.com/hyeyoung1218/diff

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DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation

https://github.com/icantnamemyself/canet

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One Person, One Model--Learning Compound Router for Sequential Recommendation

https://github.com/iesl/softmax_cpr_recommend

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To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders

https://github.com/jeon185/leaprec

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Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation

https://github.com/jeongwhanchoi/BSARec

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An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

https://github.com/jeromeramos70/peapod

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Preference Distillation for Personalized Generative Recommendation

https://github.com/jeykigung/P5

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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

https://github.com/jiangyiheng1/trimlp

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TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation

https://github.com/jiayuan6/cssr

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CSSR: A Context-Aware Sequential Software Service Recommendation Model

https://github.com/jinyuz1996/lea-gcn

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Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network

https://github.com/jjgenailab/iisan

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IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

https://github.com/junieberry/mars

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MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation

https://github.com/juyongjiang/adamct

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AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation

https://github.com/juyongjiang/barec

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Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training

https://github.com/kaike-zhang/lorec

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LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks

https://github.com/khalildmk/debiasedbert4rec

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Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers

https://github.com/kinggugu/basrec

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Augmenting Sequential Recommendation with Balanced Relevance and Diversity

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