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Knowledge-enhanced Neighborhood Interaction model for recommendation
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention
KGCN pytorch model implementation
A tensorflow implementation of Knowledge Graph Convolutional Networks
The PyTorch implementation of LightGCN
TensorFlow Implementation of Attentional Factorization Machine
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embed…
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Structured Attentions for Visual Question Answering
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容
InternalandContextualAttentionNetworkforCold-startMulti-channel MatchinginRecommendation
Tensorflow implementation for Interaction-aware factorization machines
Accelerating Inference for Recommendation Systems (WSDM'21)
Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)