文件名称:down
- 所属分类：
- JSP源码/Java
- 资源属性：
- [Java] [源码]
- 上传时间：
- 2013-07-28
- 文件大小：
- 3.42mb
- 下载次数：
- 0次
- 提 供 者：
- jac****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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.
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
基于协同过滤算法的电影推荐系统\movies\.classpath
..............................\......\.mymetadata
..............................\......\.project
..............................\......\.settings\.jsdtscope
..............................\......\.........\org.eclipse.jdt.core.prefs
..............................\......\.........\org.eclipse.wst.jsdt.ui.superType.container
..............................\......\.........\org.eclipse.wst.jsdt.ui.superType.name
..............................\......\src\movies\ContentHandler.java
..............................\......\...\......\GenerateRatings.java
..............................\......\...\......\TasteUtils.java
..............................\......\...\......\UserDemo.java
..............................\......\WebRoot\index.jsp
..............................\......\.......\META-INF\MANIFEST.MF
..............................\......\.......\WEB-INF\classes\movies\ContentHandler.class
..............................\......\.......\.......\.......\......\GenerateRatings$DocIdContentHandler.class
..............................\......\.......\.......\.......\......\GenerateRatings.class
..............................\......\.......\.......\.......\......\TasteUtils.class
..............................\......\.......\.......\.......\......\UserDemo.class
..............................\......\.......\.......\lib\axis-1.4.jar
..............................\......\.......\.......\...\axis-jaxrpc-1.4.jar
..............................\......\.......\.......\...\axis-saaj-1.4.jar
..............................\......\.......\.......\...\axis-wsdl4j-1.5.1.jar
..............................\......\.......\.......\...\commons-discovery-0.2.jar
..............................\......\.......\.......\...\commons-logging-1.0.4.jar
..............................\......\.......\.......\...\commons-math-1.2.jar
..............................\......\.......\.......\...\jstl.jar
..............................\......\.......\.......\...\mahout-core-0.2-SNAPSHOT.jar
..............................\......\.......\.......\...\slf4j-api-1.5.8.jar
..............................\......\.......\.......\...\slf4j-jcl-1.5.8.jar
..............................\......\.......\.......\...\standard.jar
..............................\......\.......\.......\...\uncommons-math-1.0.2.jar
..............................\......\.......\.......\...\uncommons-math-1.2.jar
..............................\......\.......\.......\web.xml
..............................\......\.......\Windows Seven 3.jpg
..............................\movies.xml
..............................\rating.txt
..............................\相关说明.doc
..............................\movies\WebRoot\WEB-INF\classes\movies
..............................\......\.......\.......\classes
..............................\......\.......\.......\lib
..............................\......\src\movies
..............................\......\WebRoot\META-INF
..............................\......\.......\WEB-INF
..............................\......\.myeclipse
..............................\......\.settings
..............................\......\src
..............................\......\WebRoot
..............................\movies
基于协同过滤算法的电影推荐系统