nlpkgrecx

nlpkgrecx's Stars

• zxd-octopus/ECR

  The implementation for the Recsys paper: Towards Empathetic Conversational Recommender System

  Language:Python101

• yt556677/ReFICR

  Language:Python4

• aryahm1375/ARCI

  Language:Python31

• sjtulyf123/AlignRec_CIKM24

  Language:Python113

• NanGongNingYi/GUME

  Language:Python11

• ysh-1998/LRD

  The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model

  Language:Jupyter Notebook262

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.3k3.1k

• ACMRecSys/recsys-evaluation-frameworks

  A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms

  507

• LehengTHU/AlphaRec

  The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"

  Language:Python501

• LehengTHU/Agent4Rec

  [SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

  Language:Python27125

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.4k115

• sisinflab/Ducho

  Python framework to extract multimodal features for multimodal recommendation in a highly-customizable way.

  Language:Python204

• sisinflab/Graph-Missing-Modalities

  Accepted as a short paper at CIKM 2024.

  Language:Python31

• Linxyhaha/DEALRec

  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

  Language:Python192

• Linxyhaha/TransRec

  Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (KDD'24)

  Language:C++121

• agiresearch/OpenP5

  OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

  Language:Python24919

• zhaijianyang/KP4SR

  Language:Python11

• nancheng58/Awesome-LLM4RS-Papers

  Large Language Model-enhanced Recommender System Papers

  58852

• ax-llm/ax

  The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.

  Language:TypeScript1.2k79

• XMUDM/DA-MRS

  Language:Python82

• sunyc123r/SSD-ICGA

  The code implementation for "Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation"

  Language:Python6

• microsoft/RecAI

  Bridging LLM and Recommender System.

  Language:Jupyter Notebook59754

• AaronHeee/RecFormer

  Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

  Language:Python9127

• AaronHeee/LLMs-as-Zero-Shot-Conversational-RecSys

  Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.

  Language:Python687

• lzz0007/DWSRec

  Language:Python4

• lzz0007/MP4SR

  Language:Python3

• KingGugu/RepPad

  Official source code for RecSys 2024 paper: Repeated Padding for Sequential Recommendation

  Language:Python71

• sudaada/FEARec

  Language:Python175

• zhao254014/ClusterGCF

  Cluster-based Graph Collaborative Filtering

  Language:Python4

• geon0325/LightGCNpp

  Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."

  Language:Python62