Multi-order Attentive Ranking Model for Sequential Recommendation
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Updated
Apr 23, 2019 - Python
Multi-order Attentive Ranking Model for Sequential Recommendation
Code for CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (CIKM-19)
SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.
Official Code Framework of the paper "Latent Linear Critiquing for Conversational Recommender Systems"
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
SOTA models for sequential recommendation
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"
Several sequential recommended models implemented by tenosrflow1.x
A configurable Transformer-based model for clickstream data
Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)
The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"
This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) TKDE 2021.
The source code and dataset for the RecGURU paper (WSDM 2022)
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
Codebase for SIGIR 2022 paper: Coarse-to-Fine Sparse Sequential Recommendation
Code for TKDE22 paper "Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation"
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