https://github.com/yangzhengyi98/recinterpreter
공식 코드Large Language Model Can Interpret Latent Space of Sequential Recommender
Papers with Code 아카이브
Sequential Recommendation
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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/ychen1993/coserec
공식 코드Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
https://github.com/yewzz/EAGER
공식 코드EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
https://github.com/yjdy/cape
공식 코드A Contextual-Aware Position Encoding for Sequential Recommendation
https://github.com/ysh-1998/cowpirec
공식 코드Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation
https://github.com/ysh-1998/lrd
공식 코드Sequential Recommendation with Latent Relations based on Large Language Model
https://github.com/yueeeeeeee/recsys-extraction-attack
공식 코드Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
https://github.com/yueliu1999/awesome-deep-group-recommendation
공식 코드End-to-end Learnable Clustering for Intent Learning in Recommendation
https://github.com/yueliu1999/elcrec
공식 코드End-to-end Learnable Clustering for Intent Learning in Recommendation
https://github.com/yueqirex/fmrlrec
공식 코드Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
https://github.com/yueqirex/lrurec
공식 코드https://github.com/yueqirex/modsar
공식 코드Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
https://github.com/yueqirex/sar-check
공식 코드Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
https://github.com/yueqirex/self-attention-direction-check
공식 코드Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
https://github.com/yuh-yang/mbht-kdd22
공식 코드Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
https://github.com/yuwang-1024/contrastvae
공식 코드ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
https://github.com/yuyangye/mllm-msr
공식 코드Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
https://github.com/zahraakhlaghi/alda4rec
공식 코드Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
https://github.com/zc-97/ssdrec
공식 코드SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
https://github.com/zfan20/mstein
공식 코드Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
https://github.com/zfan20/mt4sr
공식 코드Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer
https://github.com/zfan20/spmrec
공식 코드https://github.com/zfan20/stosa
공식 코드https://github.com/zh-ustc/autosam
공식 코드AutoSAM: Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
https://github.com/zhaijianyang/kp4sr
공식 코드https://github.com/zhang-xiaokun/finerec
공식 코드https://github.com/zhangyifeng1995/ssd4rec
공식 코드SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
https://github.com/zhaoqizachyang/ttt4rec
공식 코드TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
https://github.com/zhengrongqin/c2-rec
공식 코드CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation
https://github.com/zhengzhi-1997/llm-trsr
공식 코드Harnessing Large Language Models for Text-Rich Sequential Recommendation
https://github.com/zhuty16/mqsa-ted
공식 코드https://github.com/zhy99426/DualRec
공식 코드Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
https://github.com/ziqiangcui/cadirec
공식 코드Diffusion-based Contrastive Learning for Sequential Recommendation
https://github.com/ziqizhao1/caserec
공식 코드Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
https://github.com/ziwliu-cityu/simga
공식 코드https://github.com/zyang1580/apc
공식 코드Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.