Haijun Zhang's Projects
Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (2019 IJCAI paper)
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Pytorch implementation of BERT4Rec and Netflix VAE.
BERT4Rec runable with Tensorflow 2.x
Code for "Boosted Generative Models", AAAI 2018.
Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Collaborative Denoising Auto-Encoder (CDAE)
Collaborative Denoising Auto-Encoder for Top-N Recommender Systems
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
CFRBM is a implementation of the RBM model to the collaborative filtering task
Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
CNNs for sentence classification
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Content-aware weighted matrix factorization
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"