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Sequential Recommendation

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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/orion-orion/FedDCSR

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FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning

https://github.com/pinterest/transformer_user_action

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TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

https://github.com/pmixer/SASRec.pytorch

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Revisiting Self-Attentive Sequential Recommendation

https://github.com/psm1206/tale

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Temporal Linear Item-Item Model for Sequential Recommendation

https://github.com/qiaoyu-tan/SINE

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Sparse-Interest Network for Sequential Recommendation

https://github.com/qinhsiu/icsrec

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Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

https://github.com/qinhsiu/mclrec

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Meta-optimized Contrastive Learning for Sequential Recommendation

https://github.com/qinjr/SCoRe

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

https://github.com/qyp9909/indirec

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Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation

https://github.com/researcher1741/position_encoding_srs

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Positional encoding is not the same as context: A study on positional encoding for sequential recommendation

https://github.com/retagnn/RetaGNN

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RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

https://github.com/rinnesz/dwrs

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Data Watermarking for Sequential Recommender Systems

https://github.com/rlqja1107/melt

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MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation

https://github.com/rucaibox/ada-ranker

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Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

https://github.com/rucaibox/ckd-mdsr

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Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation

https://github.com/rucaibox/fmlp-rec

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Filter-enhanced MLP is All You Need for Sequential Recommendation

https://github.com/rucaibox/lsvcr

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A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation

https://github.com/rucaibox/reseq

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Reciprocal Sequential Recommendation

https://github.com/rucaibox/tedrec

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Sequence-level Semantic Representation Fusion for Recommender Systems

https://github.com/salesforce/iclrec

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Intent Contrastive Learning for Sequential Recommendation

https://github.com/salesforce/srma

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Improving Contrastive Learning with Model Augmentation

https://github.com/sein-kim/llm-srec

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Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

https://github.com/shereen-elsayed/casm

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Context-Aware Sequential Model for Multi-Behaviour Recommendation

https://github.com/siat-nlp/CpRec

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A Generic Network Compression Framework for Sequential Recommender Systems

https://github.com/sichunluo/recranker

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RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

https://github.com/sisinflab/personalized-popularity-awareness

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Enhancing Sequential Music Recommendation with Personalized Popularity Awareness

https://github.com/slientge/sequential_recommendation_tensorflow

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Sequential Recommendation Model for Next Purchase Prediction

https://github.com/sliu675/autoseqrec

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AutoSeqRec: Autoencoder for Efficient Sequential Recommendation

https://github.com/songchenlong/tcplp

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Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation

https://github.com/sttich/dl-recommendation

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Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

https://github.com/sudaada/fearec

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Frequency Enhanced Hybrid Attention Network for Sequential Recommendation

https://github.com/sudaada/slime4rec

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Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation

https://github.com/tempsdu/miir

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Modeling Sequential Recommendation as Missing Information Imputation

https://github.com/tempsdu/steam

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A Self-Correcting Sequential Recommender

https://github.com/theeluwin/session-aware-bert4rec

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Exploiting Session Information in BERT-based Session-aware Sequential Recommendation

https://github.com/tiliaceaesu/pbat

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Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation

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