`

Recommendation Reading List

 
阅读更多

1. http://somemory.com/myblog/?post=15    Yehuda Koren的paper推荐

2. http://www.cutt.com/clip/100055006        个性化推荐引擎——百分点

3. http://hong.xmu.edu.cn/?page_id=138            洪新文个人主页

4. http://blog.sina.com.cn/s/blog_5c57b5190102dz7g.html  Songza

5. http://www.diandianlab.com/%E5%AD%A6%E6%9C%AF%E6%B1%9F%E6%B9%96/cat_ico9/134.html 推荐现状与未来

 

 

分享到:
评论

相关推荐

    Building Recommendation Engines.epub

    A recommendation engine (sometimes referred to as a recommender system) is a tool that lets algorithm developers predict what a user may or may not like among a list of given items. Recommender ...

    Building Recommendation Engines

    A recommendation engine (sometimes referred to as a recommender system) is a tool that lets algorithm developers predict what a user may or may not like among a list of given items. Recommender ...

    ITU T Recommendation V.250

    ### ITU T Recommendation V.250:串行异步自动拨号与控制 #### 概述 ITU T Recommendation V.250是一项国际电信联盟(ITU)制定的标准,主要针对电话网络上的数据通信,定义了终端设备(DTE)通过串行异步接口...

    SoRec Social Recommendation using Probabilistic Matrix

    2008年,Hao Ma等人提出的SoRec(Social Recommendation Using Probabilistic Matrix Factorization)是一种创新性的解决方案,它考虑了用户之间的社会关系,从而提升了推荐系统的性能。 传统的推荐系统主要依赖于...

    tencent-real time stream recommendation

    in most web applications, accurate real-time recommendation in the context of big data is of high demand. Traditional recommender systems that analyze data and update models at regular time intervals ...

    Constrained Preference Embedding for Item Recommendation

    Constrained Preference Embedding for Item Recommendation

    Building.a.Recommendation.System.with.R.1783554495

    Learn the art of building robust and powerful recommendation engines using R About This Book Learn to exploit various data mining techniques Understand some of the most popular recommendation ...

    santander_product_recommendation.zip

    "santander_product_recommendation.zip" 文件是源自 Kaggle 的一个数据集,它为我们提供了一个探究 Santander 银行如何运用数据驱动策略进行产品推荐的宝贵机会。 Kaggle 是全球知名的机器学习和数据分析竞赛平台...

    Recommendation via Discriminatively Exploiting User Behaviors.pdf

    2018-Learning from History and Present Next-item Recommendation via Discriminatively Exploiting User Behaviors

    Collaborative personalized tweet recommendation

    本文《Collaborative personalized tweet recommendation》(协作个性化推文推荐)针对这一问题,提出了基于协作排名的方法来捕捉用户的个性化兴趣,并整合其他有用的上下文信息,从而向用户推荐他们真正感兴趣的...

    AKeyword-AwareService Recommendation Method on MapReduce

    ### AKeyword-Aware Service Recommendation Method on MapReduce #### 背景 随着近年来数据量的爆炸性增长,大数据分析已成为推动生产力增长、创新和消费者盈余的关键基础。所谓的大数据是指那些规模超出现有技术...

    kaggle elo-merchant-category-recommendation dataset

    "elo-merchant-category-recommendation"是Kaggle举办的一场竞赛,旨在利用机器学习技术为用户提供最优的商户类别推荐。本数据集包含多个文件,如historical_transactions.csv、new_merchant_transactions.csv、...

    hands-recommendation-systems-python

    Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python Rounak Banik 201807 Packt Publishing

    amazon_recommendation

    对amazon.com recommendation:item-to-item collaborative filtering提到的协同过滤推荐算法进行了实现。文件中ratings.xlsx是数据集,movies.xlsx存储的是电影名字和相应编号,name_index.mat是把movies.xlsx导入...

    BLOB_A Probabilistic Model for Recommendation that Combines Organic and Bandit S

    KDD2020论文BLOB_A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals | 推荐 | 强化学习

    Causal Recommendation:Progresses and Future Directions.pdf

    《因果推荐:进展与未来趋势》是2022年网络会议的一个讲座教程,由Yang Zhang、Wenjie Wang、Peng Wu、Fuli Feng、Xiangnan He等人组织。教程的目标是填补因果推荐领域的系统性综述空白,帮助研究人员和实践者更好地...

    the YouTube video recommendation system

    ### YouTube视频推荐系统的知识点 #### 一、引言与背景 - **个性化推荐的重要性**:在当今信息丰富的环境中,个性化推荐已成为信息检索和内容发现的关键方法之一。它结合了纯粹的搜索(查询)和浏览(定向或非定向...

    Exploiting Group Recommendation Functions for Flexible Preferences

    Web推荐系统越来越多地面临着需要向用户群体提供建议的场景;例如,当家庭分享电子商务或电影租赁网络帐户时。迄今为止在这个领域的研究提出了两种方法:通过将任何成员的评级合并成一个简介来计算小组的建议,或者...

    Hands-On Recommendation Systems with Python 最新版

    Hands-On Recommendation Systems with Python 最新版,2019

Global site tag (gtag.js) - Google Analytics