music recommendation engine

) and some social-based social sites (including music, film and book sharing, such as watercress, Mtime, etc.). This also further illustrates that, in the face of massive data in the WEB2.0 environment, users need this more intelligent, more understanding of their needs, tastes and preferences of information discovery mechanisms.Recommended engineThe importance of the recommendation

Part 2nd: In-depth recommendation of engine-related algorithms-collaborative filteringThe first article in this series provides an overview of the recommendation engine, and the following articles provide an in-depth introduction to the recommended engine's algorithms and help readers implement them efficiently. In tod

are similar users. In the recommendation engine, they can be called "neighbors". Finally, some items are recommended to the current user based on the preferences of the "neighbors" user group. In the figure, item A liked by user a is recommended to user C. The benefits of this demographic-based recommendation mechanism are: Because the current user's preferenc

Efficient collaborative filtering recommendations based on Apache MahoutApache Mahout is an open-source project under the Apache Software Foundation (ASF) that provides a number of extensible machine learning domain Classic algorithms designed to help developers create smart applications more quickly and easily, and in Mahout Also added support for Apache Hadoop to enable these algorithms to run more efficiently in the cloud environment. For the installation and configuration of Apache Mahout, r

Transferred from: http://www.ibm.com/developerworks/cn/web/1103_zhaoct_recommstudy2/index.htmlThe first article in this series provides an overview of the recommendation engine, and the following articles provide an in-depth introduction to the recommended Engine's algorithms and help readers implement them efficiently. In Today's recommended technology and algorithms, the most widely recognized and adopted

NetEase Cloud Music of the song single recommendation algorithm is how?This is Amazon invented the "like this commodity, but also like XXX" algorithm.At the core is the mathematical "cosine equation of two vectors in a multidimensional space", at the outset I was really amazed by this algorithm.=============2014-12-01 Update =============================Sorry, I said the wrong, special to correct and add.Th

Introduction to the recommendation engine The recommendation engine uses special information filtering (If,information filtering) technology to recommend different content (such as movies, music, books, news, pictures, web pages, etc.) to users who may be interested. Typica

NetEase Cloud Music "Personalized Recommendation" has been praised as a tide, but few people noticed that this function from the birth to now has undergone many revisions. In this iterative process, how to gracefully let the user perceive its functional characteristics? Today, NetEase Cloud Music Interactive designer Hu Jing to talk about the revision process of

, including the mathematical model, various clustering algorithms and the implementation on different infrastructures. Through the code example, the reader can know the specific data problem for him, how to quantify the data, how to choose a variety of different clustering algorithms. The next article in this series will continue to delve into the relevant algorithms for the recommendation engine-classifica

Now listen to music there are a variety of ways, in cool dog, coolness big line, occupy the user desktop large portion of the same time. Some small public music, or need search engines to find audio-visual. Now take the independent band-Thumb Girl and longjing, for example, experience the four major mainstream music search en