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Haijun Zhang's Projects

acf icon acf

Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention

ai-learn icon ai-learn

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

anr icon anr

Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"

augboost icon augboost

AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (2019 IJCAI paper)

bert4rec icon bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bgm icon bgm

Code for "Boosted Generative Models", AAAI 2018.

bird icon bird

Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model

capsnet-pytorch icon capsnet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

carp icon carp

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

caserecommender icon caserecommender

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

cause icon cause

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

cdae icon cdae

Collaborative Denoising Auto-Encoder (CDAE)

cdae-1 icon cdae-1

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

cf-nade icon cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cfrbm icon cfrbm

CFRBM is a implementation of the RBM model to the collaborative filtering task

chainrec icon chainrec

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.

cofactor icon cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

convmf icon convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

datafilter-recsys icon datafilter-recsys

code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"

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