RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)
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Updated
Aug 13, 2024 - Python
RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)
A unified, comprehensive and efficient recommendation library
Codebase for RecSys 2024 paper, The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
[arXiv'24] The official implementation code of LLM-ESR.
Sequential model-based optimization with a `scipy.optimize` interface
[CIKM'23] The official implementation code of DiffuASR.
[Neurocomputing 2019] Code for "A Hierarchical Contextual Attention-based Network for Sequential Recommendation"
[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Sequential model-based optimization with a `scipy.optimize` interface
Master's thesis : Exploiting Latent Interaction Information for Session-Aware Recommendation Using Recurrent Neural Networks ( Recommendation System / Tensorflow / Python )
[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".
[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".
A box of core libraries for recommendation model development
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