Search - 推荐系统

[JSP/Java] CollectiveIntelligence

Description: CollectiveIntelligence,集体智慧与推荐系统，数据挖掘类图书-CollectiveIntelligence, the collective wisdom and recommendation systems, data mining books
Platform: | Size: 8102912 | Author: Zeng Yan | Hits:

[matlab] A

Description: movie lense的用户推荐数据，用于用户推荐系统的仿真与研究-movie lense user recommendation data, the user recommendation system for simulation and study
Platform: | Size: 12288 | Author: 江南 | Hits:

[DataMining] project

Description: 数据挖掘，推荐系统，堆叠降噪自编码器，逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
Platform: | Size: 593920 | Author: 122333 | Hits:

[Other] DpRecommendations

Description: 一个带有隐私保护的推荐系统，采用movielens数据集，Topn推荐算法(A recommendation system with privacy protection)
Platform: | Size: 2048 | Author: wwm8466 | Hits:

Description: 一个关于自己实现推荐系统的案例，搞清楚推荐系统的实现过程(A recommendation on the implementation of their own system, clear the recommendation system to achieve the process)
Platform: | Size: 1116160 | Author: zhangcoding | Hits:

[Other] python-recsys-master

Description: 《推荐系统实践》作者：项亮；书籍全部章节配套源代码；仅供学习分享，如有侵权立刻删除。(The "source code" of Recommended system practice.)
Platform: | Size: 59392 | Author: Lee111 | Hits:

[Special Effects] machine-learning-ex8

Description: Andrew Ng Cousera 机器学习异常检测勇于服务器故障分析以及用于电影推荐的推荐系统的源代码和说明文档。(Andrew Ng Cousera's machine learning implement the anomaly detection algorithm and apply it to detect failing servers on a network. In the second part, you will use collaborative filtering to build a recommender system for movies.)
Platform: | Size: 1676288 | Author: mark198033 | Hits:

[Other] 推荐系统实战

Description: 本书通过大量代码和图表全面系统地阐述了和推荐系统有关的理论基础，介绍了评价推荐系统优劣的各种标准（比如覆盖率、满意度）和方法（比如AB 测试），总结了当今互联网领域中各种和推荐有关的产品和服务。另外，本书为有兴趣开发推荐系统的读者给出了设计和实现推荐系统的方法与技巧，并解答了在真实场景中应用推荐技术时最常遇到的一些问题。(This book provides a comprehensive and systematic exposition of the theoretical foundations of recommender systems through a large number of codes and diagrams, and describes the pros and cons of evaluating recommender systems.Various standards (such as coverage, satisfaction) and methods (such as AB testing) summarize the various recommendations related to the Internet.Goods and services. In addition, this book gives readers interested in developing recommender systems the methods and techniques to design and implement recommender systems and answer them.Some of the most frequently encountered problems when applying recommendation techniques in real scenarios.)
Platform: | Size: 11735040 | Author: 大魏大康 | Hits:

[Mathimatics-Numerical algorithms] cross-filter

Description: 电影推荐系统，运用协同过滤算法，运行ex8_cofi进入主程序(The application of collaborative filtering algorithm in movie recommendation system)
Platform: | Size: 452608 | Author: bx425bob | Hits:

[Other] 推荐系统实践

Description: 《推荐系统实践》超高清电子书，带书签，完整版。("Practice of recommending system" ultra high definition electronic books, with bookmarks.)
Platform: | Size: 11745280 | Author: sadfasdf1321 | Hits:

[Other] recommendationsystem

Description: web大数据的推荐系统，课堂留的作业，参考(recommend system, the big homework about web)
Platform: | Size: 24888320 | Author: 微笑向暖0412 | Hits:

[Mathimatics-Numerical algorithms] recommender

Description: 利用scala实现的推荐系统，其中用到了hive、kafka、scala等(A recommendation system implemented using Scala, which uses hive, Kafka, Scala and so on)
Platform: | Size: 39936 | Author: 1343432 | Hits:

[Finance-Stock software system] 股票推荐系统

Description: 基于股票推荐系统硬件环境 CPU：Pentium III 800MHz的 (最好是Intel Pentium IV 1GMHz) 内存：512MB(最好是1GB) 硬盘：至少6GB 2）软件环境操作系统：Windows 2003 Server 数据库：SQL Server 2005 编程环境：Matlab R2009a，MicroSoft Visual Basic 6.0(stock recsystem hardware CPU: Pentium III 800MHz (Intel Pentium IV 1GMHz could be better) RAM: 512MB(1GB better) Disk: at leas 6GB 2) software OS: Windows 2003 Server DB: SQL Server 2005 Languages: Matlab R2009a, MicroSoft Visual Basic 6.0)
Platform: | Size: 11954176 | Author: Ddartagnan | Hits:

[Other] code

Description: 协同过滤算法，用python编写，可用于推荐系统中的协同过滤推荐算法。文件包含mariadb数据库数据导入，数据预处理等代码。(Collaborative filtering algorithm, written in Python)
Platform: | Size: 3072 | Author: 离愁醉风 | Hits:

[JSP] java基于用户推荐系统实现源码

Description: java实现推荐系统，基于用户的推荐系统，有实验结果。可以根据此进行推荐系统的实现。(Java implements the recommendation system, based on the user's recommendation system, and has experimental results. The implementation of the recommended system can be carried out based on this.)
Platform: | Size: 58368 | Author: Sherlock Tang | Hits:

[AI-NN-PR] MovieLens-RecSys-master

Description: “推荐系统实践”，项亮，代码。数据“下载Movielens 1M数据集[ml-1m.zip](http://files.grouplens.org/datasets/movielens/ml-1m.zip)，并解压到项目MovieLens-RecSys文件夹下”("Recommending system practice", light, code. The data "downloads the Movielens 1M data set [ml-1m.zip] (http://files.grouplens.org/datasets/movielens/ml-1m.zip) and unzip it to the project MovieLens-RecSys folder")
Platform: | Size: 5120 | Author: frank008 | Hits:

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