论文笔记：Local Latent Space Models for Top-N Recommendation - 代码天地

论文笔记：Local Latent Space Models for Top-N Recommendation

其他 2019-02-27 20:14:21 阅读次数: 0

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转载自blog.csdn.net/qq_35771020/article/details/87770438

论文笔记：Local Latent Space Models for Top-N Recommendation

论文笔记：Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation System

论文笔记：A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage

论文笔记：A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder

论文笔记：Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection

推荐系统入门（Top-N recommendation）

Dynamic Social Network Analysis using Latent Space Models

Top-N Recommendation 基于电影（Item）的推荐

论文笔记High-Resolution Image Synthesis with Latent Diffusion Models

论文笔记之：Semi-Supervised Learning via Compact Latent Space Clustering

PULSE：Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Latent Space and Autoencoders (AE)

【扩散模型之LDM】Latent Diffusion Models 论文解读

笔记：《The FacT: Taming Latent Factor Models for Explainability with Factorization》

High-Resolution Image Synthesis with Latent Diffusion Models笔记

使用LFM（Latent factor model）隐语义模型进行Top-N推荐

使用LFM（Latent factor model）隐语义模型进行Top-N推荐[转]

论文笔记——Deep State Space Models for Time Series Forecasting【亟待解决】

推荐系统综述：Item-Based Top-N Recommendation Algorithms

推荐系统----序列推荐Caser: Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

项亮《推荐系统实践》——使用LFM隐语义模型进行Top-N推荐使用LFM（Latent factor model）隐语义模型进行Top-N推荐

论文笔记：Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

Latent Diffusion Models / Stable Diffusion

推荐系统----Leveraging Meta-path based Context for Top-N Recommendation with a Neural Co-attention Model

【论文简介】Stable Diffusion的基础论文:High-Resolution Image Synthesis with Latent Diffusion Models

对最近学习的几篇论文（GAN，latent space 相关）做一个总结

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Third paper:Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models 笔记

Stable Diffusion背后原理(Latent Diffusion Models)

Deep Discriminative Latent Space for Clustering 翻译

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