A unified, comprehensive and efficient recommendation library
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Updated
Sep 5, 2024 - Python
A unified, comprehensive and efficient recommendation library
Sequential model-based optimization with a `scipy.optimize` interface
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Sequential deep matching model for recommender system at Alibaba
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
Several sequential recommended models implemented by tenosrflow1.x
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"
A box of core libraries for recommendation model development
rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
Code for CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (CIKM-19)
Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
The source code and dataset for the RecGURU paper (WSDM 2022)
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
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