A unified, comprehensive and efficient recommendation library
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Updated
May 30, 2024 - Python
A unified, comprehensive and efficient recommendation library
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
[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"
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
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"
Sequential model-based optimization with a `scipy.optimize` interface
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
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
An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System
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