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Description: jar 包，里面涉及到协同过滤算法的数学运算。-Cf jar package, related with mathmatic funchtion.
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Size: 329728 |
Author: yang |
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Description: mahout的应用例子，比较详细地说明了mahout的使用情况，供参考。-mahout of application examples, a more detailed description of the mahout use for reference.
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Size: 104448 |
Author: gary |
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Description: 很好的mahout实战，有助于人们进行研究数据挖掘-the mahout in action is the best
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Size: 1813504 |
Author: lx |
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Description: 《Hadoop实战》是一本系统且极具实践指导意义的hadoop工具书和参考书。内容全面，对hadoop整个技术体系进行了全面的讲解，不仅包括hdfs和mapreduce这两大核心内容，而且还包括hive、hbase、mahout、pig、zookeeper、avro、chukwa等与hadoop相关的子项目的内容。实战性强，为各个知识点精心设计了大量经典的小案例，易于理解，可操作性强。-" Hadoop combat is a system and great practical significance hadoop books and reference books. Comprehensive hadoop entire technology system, a comprehensive explanation, including not only the hdfs and mapreduce two core, but also includes the hive, hbase, mahout, pig, zookeeper, avro, chukwa hadoop subprojects . Real strong, well-designed classic case for each knowledge point, easy to understand, and operability.
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Size: 6700032 |
Author: sdjgkj |
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Description: 本系统在Myeclipse下可以直接运行,选取了原上传代码中的一个算法进行分析运算。
上传文件中有该系统的相关说明。建议大家去Mahout官网查看详细说明。
先前上传的代码是在ANT下运行http://download.csdn.net/source/3358441
电影推荐系统中运用的推荐算法是基于协同过滤算法（Collaborative Filtering Recommendation）。协同过滤是在信息过滤和信息系统中正迅速成为一项很受欢迎的技术。与传统的基于内容过滤直接分析内容进行推荐不同，协同过滤分析用户兴趣，在用户群中找到指定用户的相似（兴趣）用户，综合这些相似用户对某一信息的评价，形成系统对该指定用户对此信息的喜好程度预测。-The system can be run directly in Myeclipse, select the original upload code an algorithm to analyze operations. Upload file has the system instructions. Suggest that you go to the official website to view details Mahout. Previously uploaded code is running under http://download.csdn.net/source/3358441 ANT movie recommendation system using a collaborative filtering recommendation algorithm is based on algorithms (Collaborative Filtering Recommendation). Collaborative filtering in information filtering and information systems CKS quickly becoming a very popular technique. With traditional content-based filtering to recommend direct analysis of the contents of different collaborative filtering analysis of user interest in the user base to find the specified user similarity (interest) users, the combination of these users of a similar evaluation of information, the formation of the system of the specified user Prediction preference to this information.
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Size: 3585024 |
Author: jacksun |
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Description: 我的推荐系统，实现了很多算法。没有mahout的jar包，请自己下载添加。-My recommendation system, to achieve a lot of algorithms. No mahout jar package, please download add.
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Size: 45056 |
Author: laozhao0 |
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Description: 电影推荐系统中引用了Apache Mahout提供的一个协同过滤算法的推荐引擎Taste，它实现了最基本的基于用户和基于内容的推荐算法，并提供了扩展接口，使用户方便的定义和实现自己的推荐算法。-Movie recommendation system references a collaborative filtering algorithm recommendation engine Taste Apache Mahout provided it implements the basic user-based and content-based recommendation algorithm, and provides extensible interface that enables convenient user-defined and achieve their recommended algorithms.
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Size: 3585024 |
Author: 王凯 |
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Description: mahout in action, 基于hadoop的机器学习算法包-mahout in action
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Size: 1844224 |
Author: larry |
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Description: apache mahout cookbook
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Size: 5507072 |
Author: 姓名 |
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Description: mahout的聚类算法，采用了路透社的预料文本，出自《mahout in action》一书。-Mahout clustering algorithm
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Size: 8192 |
Author: 金健 |
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Description: k-means 在hadoop mahout上的运作-the K-Means algorithm using on hadiio mahout
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Size: 1024 |
Author: linjhen |
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Description: mahout classification 经典数据测试-mahout classification classic test data
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Size: 28016640 |
Author: ruoqi |
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Description: Assembly Language Programming ARM Cortex-M3 - Vincent Mahout
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Size: 3738624 |
Author: Rodrigo |
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Description: User based recommendation system
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Size: 850944 |
Author: oliver1018 |
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