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Session-Based Recommendations

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하위 태스크: 0
평가표: 7
보존된 평가 기록: 38

Recommendation based on a sequence of events. e.g. next item prediction

코드

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

https://github.com/0215arthur/hg-gnn

공식 코드

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

https://github.com/AnsongLi/Disen-GNN

공식 코드

Disentangled Graph Neural Networks for Session-based Recommendation

https://github.com/AnsongLi/TIE-DGNN

공식 코드

Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation

https://github.com/BjornarVass/Recsys

공식 코드

Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

https://github.com/CCIIPLab/GCE-GNN

공식 코드

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

https://github.com/CRIPAC-DIG/A-PGNN

공식 코드

Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation

https://github.com/CRIPAC-DIG/SR-GNN

공식 코드

Session-based Recommendation with Graph Neural Networks

https://github.com/CRIPAC-DIG/TAGNN

공식 코드

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

https://github.com/DoubleMuL/ADER

공식 코드

ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

https://github.com/GalaxyCruiser/SR-SAN

공식 코드

Session-based Recommendation with Self-Attention Networks

https://github.com/HaojiHu/TIFUKNN

공식 코드

Modeling Personalized Item Frequency Information for Next-basket Recommendation

https://github.com/Peiyance/Atten-Mixer-torch

공식 코드

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

https://github.com/PengjieRen/RepeatNet

공식 코드

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

https://github.com/RUCAIBox/CORE

공식 코드

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space

https://github.com/RuihongQiu/FGNN

공식 코드

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

https://github.com/RuihongQiu/GAG

공식 코드

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation

https://github.com/SpaceLearner/SessionRec-pytorch

공식 코드

Learning Multi-granularity User Intent Unit for Session-based Recommendation

https://github.com/Synerise/booking-challenge

공식 코드

Modeling Multi-Destination Trips with Sketch-Based Model

https://github.com/The-Learning-Machines/SBR

공식 코드

Introducing Self-Attention to Target Attentive Graph Neural Networks

https://github.com/Zhang-xiaokun/MACL

공식 코드

Rethinking Contrastive Learning in Session-based Recommendation

https://github.com/andrebola/session-rec-effect

공식 코드

Exploring Longitudinal Effects of Session-based Recommendations

https://github.com/brilliantzhang/cares

공식 코드

Context-aware Session-based Recommendation with Graph Neural Networks

https://github.com/btwardow/dml4rec

공식 코드

Metric Learning for Session-based Recommendations

https://github.com/ciecus/MKM-SR

공식 코드

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

https://github.com/dbis-uibk/gcnext

공식 코드

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features

https://github.com/ee1s/nirgnn

공식 코드

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

https://github.com/gabrielspmoreira/chameleon_recsys

공식 코드

News Session-Based Recommendations using Deep Neural Networks

https://github.com/haitaomao/amazon-m2

공식 코드

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

https://github.com/hidasib/GRU4Rec

공식 코드

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

https://github.com/hjx159/hiphop

공식 코드

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation

https://github.com/hkust-knowcomp/fapat

공식 코드

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

https://github.com/itsukifujii/attrgau

공식 코드

Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation

https://github.com/jin530/SLIST

공식 코드

Session-aware Linear Item-Item Models for Session-based Recommendation

https://github.com/jin530/link

공식 코드

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation

https://github.com/jin530/miasrec

공식 코드

Multi-intent-aware Session-based Recommendation

https://github.com/jin530/swalk

공식 코드

S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.