Overview

There are some source codes of SOTA models for sequential recommendation, which are implemented by TensorFlow.

Model Introduction

• PopRec: recommend items according to their popularity.

• BPRMF[2009]: << BPR: Bayesian Personalized Ranking from Implicit Feedback >>

• FPMC[2010]: << Factorizing Personalized Markov Chains for Next-Basket Recommendation >>

• GRU4Rec[2016]: << SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS>>

• Caser[2018]: << Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding >>

• SASRec[2018]: << Self-Attentive Sequential Recommendation >>

• NextItNet[2019]: << A Simple Convolutional Generative Network for Next Item Recommendation >>

• HGN[2019]: << Hierarchical Gating Networks for Sequential Recommendation >>