Exploring the user-based recommender 2( similarity metrics) - 代码天地

Exploring the user-based recommender 2( similarity metrics)

企业开发 2018-05-12 21:13:55 阅读次数: 0

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转载自ylzhj02.iteye.com/blog/2057165

Exploring the user-based recommender 2( similarity metrics)

Exploring the user-based recommender 1

paper:Generating Images with Perceptual Similarity Metrics based on Deep Networks

Review: Model User Exposure in Recommender

Hadoop Metrics2

《Hybrid Recommender System based on Autoencoders》理解

Sequential Recommender System based on Hierarchical Attention Network

推荐系统论文笔记（10）：Recommender systems based on user reviews:the state of the art

Chapter 6:Similarity-Based Methods

User-centric Performance Metrics

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Similarity of necklaces 2 POJ - 2754(012背包)

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《Deep Learning based Recommender System: A Survey and New Perspectives》及相关文献

《A fuzzy recommender system based on the integration of subjective preferences and objective info......

Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective

深度优先(2): Exploring zk-SNARKs [currently ongoing]

推荐系统——Collaborative User Network Embedding for Social Recommender Systems

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

记录阅读User Experience, not Metrics文章

【 Notes 】MOBILE LOCALIZATON METHOD BASED ON MULTIDIMENSIONAL SIMILARITY ANALYSIS

协同过滤User-based算法与Item-based算法对比

欧式算法之用户推荐的协同过滤推荐(User-Based)

【转载】协同过滤（CF）算法详解，item-base，user-based，SVD，SVD++

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Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

新闻推荐系统：基于内容的推荐算法（Recommender System：Content-based Recommendation）

推荐系统—— Proposing a highly accurate hybrid component-based factorised preference model in recommender

【论文阅读笔记】Deep Learning based Recommender System: A Survey and New Perspectives

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