Archives
- 22 Mar Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness, (WWW'24)
- 12 Mar Debiasing Recommendation with Personal Popularity, (WWW'24)
- 07 Mar 거듭제곱 빠르게 연산하기
- 06 Dec Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation, (SIGIR'21)
- 11 Oct User-controllable Recommendation Against Filter Bubbles, (SIGIR'22)
- 26 Jul DGCN: Diversified Recommendation with Graph Convolutional Networks, (WWW'21)
- 25 Jul Diffusion Recommender Model, (SIGIR'23)
- 05 Jul Deep Unsupervised Learning using Nonequilibrium Thermodynamics, (ICML'15)
- 15 Jun Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer, (CIKM'21)
- 11 Jun Session-based Recommendations With Recurrent Neural Networks, (ICLR'16)
- 29 May Controllable Multi-Interest Framework for Recommendation, (KDD'20)
- 21 May [CS234] 10. Policy Gradient III
- 16 May AutoMLP: Automated MLP for Sequential Recommendations, (WWW'23)
- 07 May [CS234] 9. Policy Gradient II
- 06 May [CS234] 8. Policy Gradient I
- 05 May [CS234] 7. Imitation Learning
- 02 May [CS234] 6. CNNs and Deep Q Learning
- 01 May [CS234] 5. Value Function Approximation
- 24 Mar Causal Representation Learning for Out-of-Distribution Recommendation, (WWW'22)
- 15 Mar Learning Disentangled Representations for Recommendation, (NeurIPS'19)
- 11 Mar Variational Autoencoders for Collaborative Filtering, (WWW'18)
- 09 Mar [CS234] 4. Model Free Control
- 01 Mar Contrastive Graph Structure Learning via Information Bottleneck for Recommendation, (NuerIPS'22: Spotlight)
- 27 Feb [CS234] 1. Introduction
- 25 Feb Discrete Distribution
- 24 Feb Variational Autoencoders
- 23 Feb Autoencoder
- 15 Feb Entropy
- 12 Feb Information Theory
- 04 Feb Collaborative Metric Learning, (WWW'17)
- 31 Jan Mutual Information and Information Bottleneck
- 25 Jan User-Event Graph Embedding Learning for Context-Aware Recommendation, (KDD'22)
- 20 Jan Graph Convolution Machine for Context-aware Recommender System, (Front. Comput. Sci.'22)
- 19 Jan Factorization Machines, (ICDM'10)
- 10 Jan LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, (SIGIR'20)
- 09 Jan Neural Graph Collaborative Filtering, (SIGIR'19)
- 29 Dec Distilling the Knowledge in a Neural Network (NIPS'14)
- 28 Dec Derivative of Softmax Cross Entropy
- 16 Nov Conda 가상환경 명령어
- 15 Oct Batch Normalization
- 01 Aug Window: CUDA, cuDNN, PyTorch, Tensorflow, Keras 설치
- 12 Apr Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding, (WSDM'18)
- 01 Apr BPR: Bayesian Personalized Ranking from Implicit Feedback, (UAI'09)
- 07 Mar 추천 시스템 metric
- 20 Feb Neural Collaborative Filtering, (WWW'17)
- 12 Feb AutoRec: Autoencoders Meet Collaborative Filtering, (WWW'15)
- 08 Feb Matrix Factorization Techniques For Recommender System, (2009)
- 26 Jul Javascript 모달(Modal)